This function computes the Cox Model based on sPLSR components computed model with

  • as explanatory variables: a Kernel transform of Xplan.

It uses the package kernlab to compute the Kernel transforms of Xplan, the package spls to perform the first step in SPLSR then mixOmics to perform PLSR step fit.

coxDKsplsDR(Xplan, ...)

# S3 method for default
coxDKsplsDR(
  Xplan,
  time,
  time2,
  event,
  type,
  origin,
  typeres = "deviance",
  collapse,
  weighted,
  scaleX = TRUE,
  scaleY = TRUE,
  ncomp = min(7, ncol(Xplan)),
  modepls = "regression",
  plot = FALSE,
  allres = FALSE,
  eta,
  trace = FALSE,
  kernel = "rbfdot",
  hyperkernel,
  verbose = TRUE,
  ...
)

# S3 method for formula
coxDKsplsDR(
  Xplan,
  time,
  time2,
  event,
  type,
  origin,
  typeres = "deviance",
  collapse,
  weighted,
  scaleX = TRUE,
  scaleY = TRUE,
  ncomp = min(7, ncol(Xplan)),
  modepls = "regression",
  plot = FALSE,
  allres = FALSE,
  dataXplan = NULL,
  subset,
  weights,
  model_frame = FALSE,
  eta,
  trace = FALSE,
  kernel = "rbfdot",
  hyperkernel,
  verbose = TRUE,
  model_matrix = FALSE,
  contrasts.arg,
  ...
)

Arguments

Xplan

a formula or a matrix with the eXplanatory variables (training) dataset

...

Arguments to be passed on to survival::coxph.

time

for right censored data, this is the follow up time. For interval data, the first argument is the starting time for the interval.

time2

The status indicator, normally 0=alive, 1=dead. Other choices are TRUE/FALSE (TRUE = death) or 1/2 (2=death). For interval censored data, the status indicator is 0=right censored, 1=event at time, 2=left censored, 3=interval censored. Although unusual, the event indicator can be omitted, in which case all subjects are assumed to have an event.

event

ending time of the interval for interval censored or counting process data only. Intervals are assumed to be open on the left and closed on the right, (start, end]. For counting process data, event indicates whether an event occurred at the end of the interval.

type

character string specifying the type of censoring. Possible values are "right", "left", "counting", "interval", or "interval2". The default is "right" or "counting" depending on whether the time2 argument is absent or present, respectively.

origin

for counting process data, the hazard function origin. This option was intended to be used in conjunction with a model containing time dependent strata in order to align the subjects properly when they cross over from one strata to another, but it has rarely proven useful.

typeres

character string indicating the type of residual desired. Possible values are "martingale", "deviance", "score", "schoenfeld", "dfbeta", "dfbetas", and "scaledsch". Only enough of the string to determine a unique match is required.

collapse

vector indicating which rows to collapse (sum) over. In time-dependent models more than one row data can pertain to a single individual. If there were 4 individuals represented by 3, 1, 2 and 4 rows of data respectively, then collapse=c(1,1,1,2,3,3,4,4,4,4) could be used to obtain per subject rather than per observation residuals.

weighted

if TRUE and the model was fit with case weights, then the weighted residuals are returned.

scaleX

Should the Xplan columns be standardized ?

scaleY

Should the time values be standardized ?

ncomp

The number of components to include in the model. The number of components to fit is specified with the argument ncomp. It this is not supplied, the maximal number of components is used.

modepls

character string. What type of algorithm to use, (partially) matching one of "regression", "canonical", "invariant" or "classic". See pls for details

plot

Should the survival function be plotted ?)

allres

FALSE to return only the Cox model and TRUE for additionnal results. See details. Defaults to FALSE.

eta

Thresholding parameter. eta should be between 0 and 1.

trace

Print out the progress of variable selection?

kernel

the kernel function used in training and predicting. This parameter can be set to any function, of class kernel, which computes the inner product in feature space between two vector arguments (see kernels). The kernlab package provides the most popular kernel functions which can be used by setting the kernel parameter to the following strings:

list("rbfdot")

Radial Basis kernel "Gaussian"

list("polydot")

Polynomial kernel

list("vanilladot")

Linear kernel

list("tanhdot")

Hyperbolic tangent kernel

list("laplacedot")

Laplacian kernel

list("besseldot")

Bessel kernel

list("anovadot")

ANOVA RBF kernel

list("splinedot")

Spline kernel

hyperkernel

the list of hyper-parameters (kernel parameters). This is a list which contains the parameters to be used with the kernel function. For valid parameters for existing kernels are :

  • sigma, inverse kernel width for the Radial Basis kernel function "rbfdot" and the Laplacian kernel "laplacedot".

  • degree, scale, offset for the Polynomial kernel "polydot".

  • scale, offset for the Hyperbolic tangent kernel function "tanhdot".

  • sigma, order, degree for the Bessel kernel "besseldot".

  • sigma, degree for the ANOVA kernel "anovadot".

In the case of a Radial Basis kernel function (Gaussian) or Laplacian kernel, if hyperkernel is missing, the heuristics in sigest are used to calculate a good sigma value from the data.

verbose

Should some details be displayed ?

dataXplan

an optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model. If not found in dataXplan, the variables are taken from environment(Xplan), typically the environment from which coxDKsplsDR is called.

subset

an optional vector specifying a subset of observations to be used in the fitting process.

weights

an optional vector of 'prior weights' to be used in the fitting process. Should be NULL or a numeric vector.

model_frame

If TRUE, the model frame is returned.

model_matrix

If TRUE, the model matrix is returned.

contrasts.arg

a list, whose entries are values (numeric matrices, functions or character strings naming functions) to be used as replacement values for the contrasts replacement function and whose names are the names of columns of data containing factors.

Value

If allres=FALSE :

cox_DKsplsDR

Final Cox-model.

If allres=TRUE :

tt_DKsplsDR

sPLSR components.

cox_DKsplsDR

Final Cox-model.

DKsplsDR_mod

The sPLSR model.

Details

If allres=FALSE returns only the final Cox-model. If allres=TRUE returns a list with the sPLS components, the final Cox-model and the sPLSR model. allres=TRUE is useful for evluating model prediction accuracy on a test sample.

References

plsRcox, Cox-Models in a high dimensional setting in R, Frederic Bertrand, Philippe Bastien, Nicolas Meyer and Myriam Maumy-Bertrand (2014). Proceedings of User2014!, Los Angeles, page 152.

Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data, Philippe Bastien, Frederic Bertrand, Nicolas Meyer and Myriam Maumy-Bertrand (2015), Bioinformatics, 31(3):397-404, doi:10.1093/bioinformatics/btu660.

See also

Examples


data(micro.censure)
data(Xmicro.censure_compl_imp)

X_train_micro <- apply((as.matrix(Xmicro.censure_compl_imp)),FUN="as.numeric",MARGIN=2)[1:80,]
X_train_micro_df <- data.frame(X_train_micro)
Y_train_micro <- micro.censure$survyear[1:80]
C_train_micro <- micro.censure$DC[1:80]

(cox_DKsplsDR_fit=coxDKsplsDR(X_train_micro,Y_train_micro,C_train_micro,ncomp=6,
validation="CV",eta=.5))
#> Kernel :  rbfdot 
#> Estimated_sigma  0.01225683 
#> Call:
#> coxph(formula = YCsurv ~ ., data = tt_DKsplsDR)
#> 
#>            coef exp(coef)  se(coef)     z       p
#> dim.1 3.640e+00 3.809e+01 1.247e+00 2.920 0.00350
#> dim.2 9.933e+00 2.059e+04 3.308e+00 3.002 0.00268
#> dim.3 6.513e+00 6.737e+02 2.584e+00 2.521 0.01171
#> dim.4 1.468e+01 2.371e+06 4.859e+00 3.021 0.00252
#> dim.5 6.113e+00 4.519e+02 2.760e+00 2.215 0.02678
#> dim.6 1.249e+01 2.668e+05 4.980e+00 2.509 0.01211
#> 
#> Likelihood ratio test=69.62  on 6 df, p=4.901e-13
#> n= 80, number of events= 17 
(cox_DKsplsDR_fit=coxDKsplsDR(~X_train_micro,Y_train_micro,C_train_micro,ncomp=6,
validation="CV",eta=.5))
#> Error in model.matrix(mt0, mf0, , contrasts.arg = contrasts.arg): argument "contrasts.arg" is missing, with no default
(cox_DKsplsDR_fit=coxDKsplsDR(~.,Y_train_micro,C_train_micro,ncomp=6,
validation="CV",dataXplan=data.frame(X_train_micro),eta=.5))
#> Error in model.matrix(mt0, mf0, , contrasts.arg = contrasts.arg): argument "contrasts.arg" is missing, with no default

(cox_DKsplsDR_fit=coxDKsplsDR(X_train_micro,Y_train_micro,C_train_micro,ncomp=6,
validation="CV",allres=TRUE,eta=.5))
#> Kernel :  rbfdot 
#> Estimated_sigma  0.01214487 
#> $tt_DKsplsDR
#>           dim.1        dim.2       dim.3        dim.4        dim.5        dim.6
#> 1  -0.119366461 -0.470163040 -0.14770155  0.103347069 -0.231036722 -0.143465539
#> 2   0.096720271 -0.098632593  0.28516603 -0.306594210 -0.233999873  0.043862045
#> 3   0.294440257 -0.006572275  0.08392684 -0.020204601 -0.044004165 -0.121795748
#> 4   0.051437327  0.010906189  0.02258421 -0.139996618 -0.054217225 -0.153712226
#> 5   0.409158082 -0.069767312 -0.36849617  0.047142886 -0.163130759 -0.056397382
#> 6  -0.154980696  0.089287407 -0.28968606 -0.222275226 -0.251171263  0.143174594
#> 7  -0.224409381  0.134131627 -0.11497907  0.098699703 -0.087614148 -0.126741971
#> 8   0.533133451  0.167932267 -0.25423490  0.027814356  0.188701005  0.106335561
#> 9   0.015039991 -0.237508754  0.26809576 -0.127971339 -0.146845155 -0.043690573
#> 10  0.057249777 -0.009758618  0.13192506 -0.080574944 -0.220588230 -0.119923131
#> 11  0.154944054  0.239500090 -0.16736842  0.313780973  0.235164582  0.208707927
#> 12 -0.447578645  0.085620155 -0.17543050  0.264751582  0.259106178  0.073126969
#> 13  0.227161039 -0.304703338 -0.05142946 -0.085964502  0.216366460  0.011977120
#> 14 -0.326591394  0.200848435 -0.22229923 -0.254704379 -0.041708960  0.156861871
#> 15  0.113665374 -0.367508815  0.20561017  0.231054904  0.163774635 -0.156894306
#> 16  0.278299780 -0.155038223 -0.17776927  0.029436272 -0.237172738  0.255575791
#> 17 -0.323454926 -0.019238303  0.02649452 -0.049574378  0.101406229  0.135766328
#> 18 -0.265681949 -0.265873098 -0.02369941  0.101741167 -0.076399990  0.208123235
#> 19  0.014933140  0.050227147  0.13225939 -0.084659807  0.331856342 -0.144277574
#> 20 -0.418441644  0.183798750 -0.14929677 -0.149046199  0.010988486  0.090204856
#> 21 -0.119653161 -0.104119585  0.16244819  0.151464999 -0.359695296 -0.025963395
#> 22 -0.006061815 -0.247909157 -0.14002258  0.149376731  0.052816236  0.338912246
#> 23  0.116450595 -0.055479040  0.22240860 -0.049077863  0.041901610 -0.208399050
#> 24  0.136927228  0.289044521 -0.26536583 -0.154906892 -0.299342308 -0.125041370
#> 25 -0.510731794 -0.103485894 -0.22732778  0.098677458  0.008932034  0.127827990
#> 26 -0.412614639  0.263605747 -0.06587338 -0.054463403 -0.079658997 -0.077463887
#> 27  0.327775198 -0.026468451 -0.06392982 -0.035727589  0.031600240 -0.150347519
#> 28  0.357424724 -0.091692648 -0.15174215  0.025140771 -0.221752124 -0.336211223
#> 29 -0.296387647  0.195282139  0.35648928 -0.010553890 -0.238797292 -0.083744788
#> 30 -0.297459057  0.155543771 -0.10571129 -0.008775468 -0.225187277 -0.073004092
#> 31  0.279360933  0.076077094  0.30862752  0.311666441  0.049886507  0.132633505
#> 32 -0.267185712 -0.097352761 -0.07473648  0.026943255 -0.079259260  0.011157180
#> 33 -0.328817326 -0.205041542  0.41020479 -0.034353324 -0.051461296 -0.004320914
#> 34 -0.138742113  0.154516926 -0.04675622 -0.185883328  0.379689546  0.017962239
#> 35  0.333471712 -0.008395729 -0.19088357  0.119332455  0.070226017  0.176639853
#> 36 -0.055013256 -0.020663803 -0.02975471 -0.021980021  0.303056613 -0.196991691
#> 37  0.257561930  0.402290827 -0.03450839  0.146491722 -0.128708629  0.041085795
#> 38 -0.239258503  0.130860431  0.04360579  0.156824927 -0.079823555  0.013127502
#> 39 -0.431258613  0.170099103  0.13874251  0.015650546 -0.352048483  0.106985447
#> 40  0.135631964 -0.080692120  0.09562367  0.222405698 -0.159436117  0.115275000
#> 41 -0.097095307  0.045667964  0.15908558  0.021879024 -0.206422378 -0.040567409
#> 42  0.405853905 -0.218296851 -0.20525788  0.098599312 -0.016269195 -0.253608245
#> 43 -0.416199634 -0.008342459  0.08273205  0.351791698  0.138743696  0.103619279
#> 44 -0.097073191 -0.004117538  0.22824815 -0.083147424 -0.548935014 -0.061387268
#> 45 -0.311083861  0.190866447  0.15130412 -0.150487348 -0.010059766  0.154064726
#> 46  0.122609206  0.078353915 -0.52119327  0.024148626 -0.213083516 -0.053610033
#> 47  0.021774875 -0.045478425 -0.03989865 -0.114740692 -0.207936584 -0.052447981
#> 48  0.214623170 -0.042969155 -0.12866922 -0.343553160 -0.254682498  0.059232541
#> 49  0.319967003 -0.045215897 -0.12773237  0.081297555 -0.119973604  0.065329006
#> 50  0.027693652 -0.095080711  0.04788482 -0.022236214  0.220485998 -0.183754218
#> 51 -0.125553992 -0.265019149  0.14607975  0.021863235  0.267618315 -0.127138472
#> 52  0.565395444 -0.174216390  0.16613699 -0.171740231 -0.135621242  0.180116179
#> 53  0.139154913 -0.222785370  0.33757824  0.017612380 -0.193288301 -0.177649990
#> 54  0.166021914  0.482853968  0.37319418  0.102738565  0.035687209  0.088862324
#> 55  0.432447555  0.311157674  0.45983649  0.062249846 -0.051157037  0.126536646
#> 56 -0.306900990 -0.275755525  0.10196293  0.218836723  0.041751199 -0.118743435
#> 57 -0.463248078 -0.273369669  0.06031684  0.074297886  0.171708639  0.020231503
#> 58 -0.180314606  0.415367399  0.30690159 -0.100449743  0.011232321  0.099089903
#> 59 -0.250860012  0.256323124 -0.25428780  0.152193398 -0.227146346 -0.179079625
#> 60 -0.331643594  0.048362438 -0.14564638  0.092860061  0.270231904 -0.204015400
#> 61  0.124307010  0.308857645 -0.07069009 -0.115389158  0.221345327 -0.299341076
#> 62  0.196394157 -0.218529897  0.22036274  0.005168617  0.394724213 -0.034060580
#> 63  0.646300561  0.224309130  0.09014559  0.287339704  0.168802219  0.125720063
#> 64  0.321008580 -0.357756416 -0.13587198 -0.303151058 -0.131741898  0.233729362
#> 65  0.401032675  0.059885492  0.32506088 -0.126379172  0.140957043  0.084500707
#> 66 -0.075347227  0.066075020 -0.02843062 -0.151563399  0.241470592 -0.156589898
#> 67 -0.327595433 -0.267696148 -0.31941049 -0.033721177  0.184325807  0.046079364
#> 68  0.044839743 -0.035118936 -0.09419935  0.135948261  0.084206216  0.049947869
#> 69  0.263821613  0.123320859  0.07286169 -0.002547123  0.306481818 -0.014058706
#> 70 -0.135418084 -0.018231644 -0.09089514 -0.050272212  0.066316862  0.135093616
#> 71 -0.016974058  0.007561739 -0.03257122  0.242678038 -0.202890637 -0.253142539
#> 72  0.062604558  0.327333884  0.00892866  0.042185936  0.078820024 -0.096241350
#> 73  0.219016616 -0.030701408  0.09738161 -0.225794380  0.295098992  0.079733728
#> 74 -0.140957629 -0.052682947 -0.07453394 -0.144599457  0.090732189 -0.023488187
#> 75  0.403588149 -0.126407079 -0.07556093 -0.126169667  0.132214678  0.232826097
#> 76  0.381302414  0.112669047 -0.44182105  0.127476245 -0.093695917 -0.033050078
#> 77 -0.205735368 -0.094477806 -0.01400431 -0.260123899  0.360455935 -0.054360074
#> 78 -0.091481793 -0.098656528 -0.07538709 -0.041250950  0.149740233  0.076081022
#> 79 -0.338690073  0.162933685 -0.08850138 -0.256849342  0.357163318  0.024737255
#> 80 -0.374682874 -0.204501011  0.17335096  0.098544761 -0.199823674  0.263866700
#> 
#> $cox_DKsplsDR
#> Call:
#> coxph(formula = YCsurv ~ ., data = tt_DKsplsDR)
#> 
#>            coef exp(coef)  se(coef)     z       p
#> dim.1 3.612e+00 3.702e+01 1.240e+00 2.914 0.00357
#> dim.2 9.813e+00 1.827e+04 3.261e+00 3.010 0.00262
#> dim.3 6.418e+00 6.125e+02 2.545e+00 2.521 0.01170
#> dim.4 1.456e+01 2.109e+06 4.812e+00 3.026 0.00247
#> dim.5 6.069e+00 4.321e+02 2.747e+00 2.209 0.02718
#> dim.6 1.248e+01 2.643e+05 4.979e+00 2.507 0.01216
#> 
#> Likelihood ratio test=69.31  on 6 df, p=5.656e-13
#> n= 80, number of events= 17 
#> 
#> $DKsplsDR_mod
#> $x
#>                [,1]          [,2]         [,3]         [,4]          [,5]
#>  [1,]  6.217331e-01 -0.0465220822  0.026595227 -0.065314404  0.1251212801
#>  [2,] -4.388382e-02  0.6190948819  0.096793458  0.075562559 -0.0758915299
#>  [3,]  6.605645e-02  0.1336164114  0.582271929  0.019564284  0.0902045609
#>  [4,] -5.228722e-02  0.0859514732 -0.006869755  0.608705967 -0.0179882787
#>  [5,]  1.550882e-01 -0.0485629215  0.080710216 -0.001048585  0.5917662735
#>  [6,] -1.065964e-01 -0.1117459605 -0.114976681 -0.075500479  0.0049514527
#>  [7,]  2.743325e-02 -0.0788048605 -0.071452852  0.036521809 -0.0353202157
#>  [8,] -7.412652e-02 -0.0751858031  0.089625661  0.006054485  0.0606455298
#>  [9,]  1.368631e-01  0.0970363316  0.049792788 -0.013993407 -0.0602074625
#> [10,]  2.764584e-02  0.1943905020 -0.003261175 -0.014998154 -0.0299351749
#> [11,] -2.109642e-02 -0.1845361910 -0.130955111 -0.091559933 -0.0040888351
#> [12,] -4.280421e-02 -0.1194165460 -0.037896012 -0.019201040 -0.0351473803
#> [13,] -7.575517e-02  0.0020757438 -0.035325378 -0.091476512 -0.0439902704
#> [14,] -8.052366e-02 -0.0089521617 -0.009099111 -0.061250931 -0.0113861269
#> [15,]  1.350005e-01 -0.0067608741  0.021809262 -0.006598301 -0.0526300370
#> [16,]  7.121958e-02 -0.0177102248 -0.044191999 -0.069498054  0.2042315279
#> [17,] -1.012094e-01 -0.0222682549 -0.108468534 -0.074287884 -0.1009128139
#> [18,]  1.830092e-01 -0.0176450861 -0.032093439 -0.013078012  0.0206620147
#> [19,] -4.213534e-02 -0.0096642332  0.033184409  0.052454329 -0.0125750358
#> [20,]  9.035864e-03 -0.0725151288 -0.051677591 -0.066009757 -0.0776937698
#> [21,]  1.040653e-01  0.0991056423  0.024512836  0.016932521  0.0364390325
#> [22,]  9.719908e-03 -0.0408669938  0.006861808 -0.143286474  0.0647118013
#> [23,] -6.984939e-02  0.0751254771  0.079039702  0.010843568 -0.0768313674
#> [24,] -1.362108e-02 -0.0578160719  0.026665964  0.021884239  0.0410271919
#> [25,] -2.279228e-02 -0.1238084159 -0.009480988 -0.119978732 -0.0411501223
#> [26,] -3.923682e-02 -0.1002886125 -0.059291358  0.025536732 -0.0966486128
#> [27,] -1.436628e-01 -0.0971645858 -0.088129728 -0.078109736 -0.0514954809
#> [28,] -3.235474e-02 -0.1240204009  0.069207836 -0.077738111 -0.0171075616
#> [29,] -6.544569e-02  0.0228221174 -0.024814336 -0.080699985 -0.1323908859
#> [30,] -9.055329e-02 -0.0467346965 -0.122315906 -0.026099429 -0.0362721550
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#>               [,11]         [,12]         [,13]         [,14]         [,15]
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#>              [,21]         [,22]        [,23]         [,24]        [,25]
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#> [40,]  0.0920894163  0.0190811441 -0.135151143 -0.0738933386  0.0962097884
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#> [44,]  0.0301764023 -0.0758399701 -0.074281020 -0.0802786535 -0.0941346385
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#> [46,]  0.1099070095 -0.0104244851 -0.085391530 -0.0040355178 -0.0202813607
#> [47,] -0.0494574704  0.0328577268 -0.077923344  0.0170284675 -0.0461537990
#> [48,]  0.0232910831 -0.1132034062  0.024065553  0.0491389702  0.0448267313
#> [49,]  0.0336777211 -0.0949126884  0.081597892 -0.1219428388  0.0174443811
#> [50,]  0.0299327877 -0.0244122671  0.063772874  0.0238752527 -0.0713096282
#> [51,]  0.0888611894 -0.0373574811  0.052747896  0.1786475336  0.0083190759
#> [52,] -0.0976284252 -0.1221310759  0.124995081 -0.0764373969  0.1538190361
#> [53,] -0.0338734263  0.0944641862 -0.025974801 -0.1020507689  0.1029724804
#> [54,]  0.0412662289 -0.0545938154  0.068681618  0.0811943672 -0.0653569309
#> [55,] -0.0194563609  0.0465703146  0.006734061  0.0244372239  0.0763664314
#> [56,] -0.0010204071 -0.1045184729 -0.036163581  0.0034420628 -0.0865360760
#> [57,] -0.0819270474 -0.0268437508 -0.052635798  0.0225145974 -0.0365363266
#> [58,] -0.0206752011 -0.0216850963  0.069758270  0.0308438931 -0.0322205855
#> [59,]  0.1289916946  0.0397761874 -0.143256006 -0.0105234003 -0.1051395920
#> [60,]  0.0291315750  0.0454227664  0.009385002  0.0206621850 -0.0467835155
#> [61,] -0.0622309896  0.0817229363  0.038832613  0.0182804371 -0.0548899391
#> [62,]  0.0264976708 -0.0908884551  0.276706200  0.0586207037  0.0625155099
#> [63,] -0.0248348546  0.0275757198 -0.068661564 -0.1365676678  0.1142103179
#> [64,] -0.0415382973 -0.0943197472  0.078347756  0.0305535022  0.1036292640
#> [65,] -0.0759780982  0.0001832581  0.145099488 -0.0157088860  0.0765735376
#> [66,] -0.0683375456  0.0675731709  0.118210180  0.0903197278 -0.0297153954
#> [67,] -0.0484430733 -0.0174734336 -0.085040988  0.1384428689  0.0039976703
#> [68,] -0.0739067390  0.0638239421 -0.077672078 -0.0317885786  0.0308836176
#> [69,] -0.0283335895  0.0383028718  0.040605463  0.0330826175  0.0877103719
#> [70,]  0.0019408972  0.0219124166 -0.044813288  0.0023325204  0.0976988886
#> [71,]  0.6226715821 -0.0985922039 -0.112110887  0.0790706640 -0.0379962605
#> [72,] -0.0863700083  0.6104493866 -0.115631970 -0.0548446511  0.0002071433
#> [73,] -0.0896788589 -0.1054221375  0.600239554  0.0015219228  0.0414099150
#> [74,]  0.1177965056 -0.0283410051  0.017815736  0.5839457406  0.0602752910
#> [75,] -0.0061984849  0.0197827233  0.050775662  0.0533472251  0.5908738065
#> [76,]  0.0952890600  0.0096839258 -0.068593492  0.0252468786  0.0003531905
#> [77,]  0.0061871509 -0.0445667795  0.179013341  0.0886867556  0.0525992307
#> [78,]  0.0041142509  0.1198051455 -0.074774977  0.1450299590  0.1018132303
#> [79,] -0.0754581357  0.0576694600  0.062374730  0.1038292826  0.0180197187
#> [80,]  0.0477606145 -0.0508616349 -0.108151258 -0.0089574834  0.0077740700
#>              [,76]         [,77]         [,78]        [,79]         [,80]
#>  [1,] -0.008545931 -0.1382014481 -5.291856e-02 -0.138619064  0.0116073212
#>  [2,] -0.146443873  0.0067746909  8.380749e-03 -0.030242123  0.0383504538
#>  [3,] -0.023715792 -0.0058887483  1.322885e-01 -0.035264821 -0.0255743338
#>  [4,] -0.041558620  0.0713011155 -4.789633e-02 -0.004358190 -0.0748989602
#>  [5,]  0.335274131 -0.1062465617 -3.439136e-03 -0.106652392 -0.0692312529
#>  [6,]  0.012145764 -0.0071752806 -8.095897e-02 -0.044490967  0.0350726856
#>  [7,] -0.026599778 -0.0337525306 -1.301474e-01 -0.032462863 -0.0235403751
#>  [8,]  0.094951244 -0.0347053077  1.327035e-03 -0.034419943 -0.1242238056
#>  [9,] -0.112740074 -0.0351609675 -3.328715e-02 -0.064487821  0.0671021189
#> [10,] -0.088922516 -0.0751981581 -1.098795e-01 -0.101737843 -0.1108928888
#> [11,]  0.114925279 -0.1318697971 -1.833367e-01 -0.095748684 -0.1748021810
#> [12,]  0.055775305  0.0359015108  3.850842e-02  0.094102424  0.0129001834
#> [13,] -0.012910308  0.0585984402 -2.612270e-02 -0.028735296 -0.0863358845
#> [14,] -0.034738314  0.0923356891  9.560231e-02  0.186813188  0.0638462202
#> [15,] -0.087324867 -0.0089317828 -4.783270e-02 -0.084892556 -0.0316632813
#> [16,]  0.133650459 -0.1722504423 -2.218919e-02 -0.135332092  0.0225441272
#> [17,] -0.025161882 -0.0165591521 -9.647541e-03  0.089094172  0.0500723603
#> [18,] -0.009638157 -0.1392876972 -8.308273e-03 -0.095828429  0.1491152659
#> [19,] -0.066936115  0.1661279338  7.100950e-02  0.133312077 -0.1023193252
#> [20,] -0.064914020  0.0049829183 -3.370361e-02  0.241119309 -0.0151787292
#> [21,] -0.034671009 -0.1226021047 -6.192254e-02 -0.141339453  0.1193218655
#> [22,] -0.044599628 -0.0150852937  2.689092e-02 -0.097171860  0.0778944589
#> [23,] -0.093561609  0.0958541662 -2.936399e-02 -0.005595494 -0.0144397495
#> [24,]  0.080219158 -0.1040135503  4.423643e-02  0.028773844 -0.0514937874
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#> [26,] -0.052315152 -0.0041755640 -1.065519e-01  0.022206077 -0.0761271809
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#> [28,] -0.017896331 -0.1219665633 -5.765261e-02 -0.142297840 -0.1148107782
#> [29,] -0.141248791 -0.0840966288 -4.610350e-02 -0.021448330  0.0259743983
#> [30,]  0.014889077 -0.0815351142 -1.076857e-01 -0.054745120 -0.0365229399
#> [31,]  0.013918956  0.0038133486  5.124249e-02 -0.076695004  0.1231807836
#> [32,] -0.103832288  0.0590241934 -2.578904e-02 -0.003617929 -0.0333424287
#> [33,] -0.156898062  0.1063359128  5.376914e-02  0.051560519  0.1540412190
#> [34,] -0.022630340  0.1495967002  1.547673e-01  0.251475030 -0.0299287679
#> [35,]  0.111386335 -0.0906635934 -6.674515e-02 -0.038188797 -0.1505150986
#> [36,]  0.017463503  0.1354909179  1.920469e-01  0.091327358 -0.0229079411
#> [37,]  0.121673385 -0.1305480405  1.074592e-02 -0.018514593 -0.0574979446
#> [38,] -0.038895679 -0.0828730171 -9.668149e-03 -0.027976012  0.0131968105
#> [39,] -0.035130317 -0.1228887388 -9.104140e-02 -0.072250881  0.2092800920
#> [40,] -0.015469194 -0.0253835369  1.027073e-01 -0.074867371  0.1179423209
#> [41,] -0.143607962 -0.0365927268 -1.000173e-01 -0.063113522  0.0532562950
#> [42,]  0.057767748 -0.0783072889 -1.391541e-01 -0.153918872 -0.1311099678
#> [43,] -0.038832380  0.0271940453 -1.263737e-02  0.028956040 -0.0005505544
#> [44,] -0.114533656 -0.0845565730 -5.489225e-02 -0.102469375  0.1666319865
#> [45,] -0.110349201 -0.0559417380 -8.504481e-02  0.053034948  0.0420462491
#> [46,]  0.336458415 -0.1056303315 -3.234232e-03 -0.071383844 -0.0366883410
#> [47,]  0.030250107 -0.0972038279 -3.086110e-02 -0.033357738  0.0293478830
#> [48,] -0.036002101 -0.0444139022 -1.332233e-01 -0.114836106 -0.0509877520
#> [49,]  0.232981222 -0.1320022202 -1.034127e-01 -0.146779043 -0.0331708443
#> [50,]  0.006681326  0.0489411946 -3.751223e-02 -0.026739879 -0.0832989148
#> [51,] -0.059360493  0.0902165245 -8.586189e-04  0.040975018 -0.0717174045
#> [52,] -0.033521498 -0.0281348761 -2.492608e-02 -0.105173790  0.0182931404
#> [53,] -0.104966777 -0.0386880398 -3.169148e-04 -0.104783515  0.1030447659
#> [54,]  0.004077329 -0.0232012854 -8.754404e-02  0.004506130 -0.0582558052
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#> [56,] -0.049519393 -0.0405059404 -4.245324e-02  0.015439636 -0.0041937805
#> [57,] -0.066192131  0.0170892063  1.057152e-01  0.128794794  0.0575477559
#> [58,] -0.029332540  0.0630732684 -5.576108e-02  0.139268232  0.0596803178
#> [59,]  0.038122697 -0.1231573571 -9.615852e-02 -0.048077061 -0.0516485404
#> [60,]  0.027539910  0.1821958507  3.096230e-02  0.104139699 -0.0303930773
#> [61,] -0.007755521  0.0727422927 -4.625889e-02  0.164853436 -0.1787724961
#> [62,] -0.043098297  0.1971580996  6.990920e-03  0.011767049 -0.0240248573
#> [63,]  0.048899861 -0.0551040609 -1.632354e-02 -0.061311606 -0.0918789704
#> [64,]  0.009256704 -0.0326925689  5.108726e-02 -0.078938804  0.0537410962
#> [65,] -0.064968600 -0.0030203500 -7.273600e-02 -0.054090827 -0.0635701983
#> [66,] -0.065000765  0.1482457300  9.737847e-02  0.132771858 -0.0830320864
#> [67,] -0.038099341 -0.0004370534  9.274153e-02  0.078904582 -0.0554378242
#> [68,]  0.105721607 -0.0736344914  8.958779e-05  0.004907856  0.0124409337
#> [69,]  0.034548717  0.0575906409  1.707811e-02  0.116550023 -0.1064141865
#> [70,] -0.050131200  0.1046129267  1.437818e-02  0.044645067  0.1169078996
#> [71,]  0.085897685 -0.0282210211 -2.946657e-02 -0.112102606  0.0218727951
#> [72,]  0.012514747 -0.0667527559  9.844652e-02  0.033247185 -0.0645272586
#> [73,] -0.055552838  0.1670371977 -8.592377e-02  0.048162288 -0.1116070485
#> [74,]  0.054581346  0.0930044253  1.501750e-01  0.105910654  0.0038805388
#> [75,]  0.022759592  0.0499888344  1.000302e-01  0.013173024  0.0136840263
#> [76,]  0.613280208 -0.1432066224 -1.483031e-02 -0.082842701 -0.0799359506
#> [77,] -0.118189825  0.5882634102  9.503031e-02  0.245380343 -0.0157544345
#> [78,]  0.009359131  0.0942029562  5.890908e-01  0.130116344  0.1168298906
#> [79,] -0.055589605  0.2476166417  1.331800e-01  0.586027112 -0.0614147563
#> [80,] -0.063439506 -0.0242747870  1.091369e-01 -0.072171407  0.5967837628
#> attr(,"scaled:center")
#>  [1] 0.3782669 0.3809051 0.4177281 0.3912940 0.4082337 0.3836853 0.3820761
#>  [8] 0.3867995 0.4098681 0.3529733 0.3528950 0.4103617 0.3823800 0.4086794
#> [15] 0.3975514 0.3825561 0.3965111 0.4122644 0.4045401 0.3961760 0.3917129
#> [22] 0.3894717 0.4104081 0.3848767 0.4006978 0.3872685 0.3758471 0.3686865
#> [29] 0.3845324 0.3764442 0.4119124 0.3534128 0.3965159 0.4024439 0.3361844
#> [36] 0.4255774 0.3898105 0.3957836 0.3911251 0.3978670 0.3848866 0.3754391
#> [43] 0.3984619 0.3791862 0.3930092 0.3917154 0.4043294 0.3630059 0.3932208
#> [50] 0.3902471 0.4064515 0.3840116 0.4086117 0.4119127 0.4164178 0.3924465
#> [57] 0.4033200 0.4077141 0.3782406 0.4141082 0.3960607 0.4294279 0.3578725
#> [64] 0.3982966 0.4165695 0.4119925 0.3983239 0.3984892 0.4239729 0.3958449
#> [71] 0.3773284 0.3895506 0.3997604 0.4160543 0.4091262 0.3867198 0.4117366
#> [78] 0.4109092 0.4139729 0.4032162
#> 
#> $y
#>           [,1]
#> 1  -1.34092076
#> 2  -0.40354514
#> 3  -0.08804619
#> 4  -0.19662129
#> 5  -0.83292838
#> 6  -0.24326776
#> 7  -0.24326776
#> 8   1.71759798
#> 9  -0.40354514
#> 10 -0.01470504
#> 11  2.24746138
#> 12 -0.08804619
#> 13 -0.24326776
#> 14 -0.95351156
#> 15 -0.01470504
#> 16 -0.01470504
#> 17 -0.40354514
#> 18 -0.24326776
#> 19  0.80319493
#> 20 -0.95351156
#> 21 -0.29286530
#> 22 -0.14620204
#> 23 -0.24326776
#> 24 -0.83292838
#> 25 -0.95351156
#> 26 -0.01470504
#> 27 -0.29286530
#> 28 -0.29286530
#> 29 -0.24326776
#> 30 -0.08804619
#> 31  2.44413581
#> 32 -0.34683102
#> 33 -0.40354514
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#> 45 -0.01470504
#> 46 -0.77069581
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#> 49 -0.24326776
#> 50  0.04504303
#> 51 -0.65052072
#> 52  0.61191952
#> 53 -0.19662129
#> 54  2.09707181
#> 55  2.74899002
#> 56 -0.40354514
#> 57 -0.95351156
#> 58 -0.01470504
#> 59 -0.34683102
#> 60 -0.83292838
#> 61 -0.14620204
#> 62  1.59220679
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#> 66 -0.01470504
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#> 72  1.00663078
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#> 79 -0.40354514
#> 80 -0.29286530
#> attr(,"scaled:center")
#> [1] -0.1434088
#> 
#> $betahat
#>               [,1]
#>  [1,] -1.918508626
#>  [2,] -0.907145380
#>  [3,] -0.483550479
#>  [4,] -0.626219045
#>  [5,] -1.549361109
#>  [6,] -0.857047964
#>  [7,]  0.000000000
#>  [8,]  1.461566522
#>  [9,] -0.736925786
#> [10,]  0.000000000
#> [11,]  3.435121043
#> [12,]  1.160263052
#> [13,] -0.608390598
#> [14,] -1.116565155
#> [15,]  0.244046600
#> [16,]  0.008343426
#> [17,]  0.000000000
#> [18,]  0.475538006
#> [19,]  0.822412603
#> [20,] -0.778435719
#> [21,] -0.450031658
#> [22,]  0.857787312
#> [23,] -0.584006204
#> [24,] -1.841802587
#> [25,] -0.365953266
#> [26,]  0.114201896
#> [27,] -0.773531174
#> [28,] -1.492096051
#> [29,]  0.041045855
#> [30,]  0.000000000
#> [31,]  3.093250236
#> [32,]  0.000000000
#> [33,] -0.186678738
#> [34,] -0.392462038
#> [35,]  1.945518289
#> [36,] -0.642608431
#> [37,]  1.837094911
#> [38,]  0.000000000
#> [39,]  0.114886266
#> [40,]  1.485817519
#> [41,]  0.000000000
#> [42,] -1.115627285
#> [43,]  1.396078678
#> [44,] -1.168681754
#> [45,]  0.430595215
#> [46,] -1.389866459
#> [47,]  0.000000000
#> [48,] -1.192490628
#> [49,]  0.000000000
#> [50,] -0.242269122
#> [51,] -0.171474599
#> [52,]  0.206393794
#> [53,] -0.689283354
#> [54,]  2.666710947
#> [55,]  2.973736149
#> [56,]  0.145081940
#> [57,] -0.184321077
#> [58,]  0.422468700
#> [59,] -0.619303330
#> [60,] -0.790848244
#> [61,] -0.661137461
#> [62,]  1.558862938
#> [63,]  2.760487493
#> [64,] -0.886965047
#> [65,]  1.258487424
#> [66,] -0.406468119
#> [67,]  0.043849351
#> [68,] -0.171955897
#> [69,]  1.237647808
#> [70,]  0.000000000
#> [71,] -1.186358763
#> [72,]  0.923395214
#> [73,] -0.203943532
#> [74,]  0.000000000
#> [75,] -0.175005053
#> [76,] -0.020985226
#> [77,] -0.928648794
#> [78,]  0.000000000
#> [79,] -0.551097906
#> [80,]  0.558010653
#> 
#> $A
#>  [1]  1  2  3  4  5  6  8  9 11 12 13 14 15 16 18 19 20 21 22 23 24 25 26 27 28
#> [26] 29 31 33 34 35 36 37 39 40 42 43 44 45 46 48 50 51 52 53 54 55 56 57 58 59
#> [51] 60 61 62 63 64 65 66 67 68 69 71 72 73 75 76 77 79 80
#> 
#> $betamat
#> $betamat[[1]]
#>             [,1]
#>  [1,]  0.0000000
#>  [2,]  0.0000000
#>  [3,]  0.0000000
#>  [4,]  0.0000000
#>  [5,]  0.0000000
#>  [6,]  0.0000000
#>  [7,]  0.0000000
#>  [8,]  0.8768058
#>  [9,]  0.0000000
#> [10,]  0.0000000
#> [11,]  0.0000000
#> [12,]  0.0000000
#> [13,]  0.0000000
#> [14,]  0.0000000
#> [15,]  0.0000000
#> [16,]  0.0000000
#> [17,]  0.0000000
#> [18,]  0.0000000
#> [19,]  0.0000000
#> [20,] -0.6245761
#> [21,]  0.0000000
#> [22,]  0.0000000
#> [23,]  0.0000000
#> [24,]  0.0000000
#> [25,] -0.8819973
#> [26,]  0.0000000
#> [27,]  0.0000000
#> [28,]  0.0000000
#> [29,]  0.0000000
#> [30,]  0.0000000
#> [31,]  0.6655787
#> [32,]  0.0000000
#> [33,]  0.0000000
#> [34,]  0.0000000
#> [35,]  0.0000000
#> [36,]  0.0000000
#> [37,]  0.6645829
#> [38,]  0.0000000
#> [39,]  0.0000000
#> [40,]  0.0000000
#> [41,]  0.0000000
#> [42,]  0.0000000
#> [43,]  0.0000000
#> [44,]  0.0000000
#> [45,]  0.0000000
#> [46,]  0.0000000
#> [47,]  0.0000000
#> [48,]  0.0000000
#> [49,]  0.0000000
#> [50,]  0.0000000
#> [51,]  0.0000000
#> [52,]  0.7511499
#> [53,]  0.0000000
#> [54,]  0.6556647
#> [55,]  1.0188928
#> [56,]  0.0000000
#> [57,] -0.8392528
#> [58,]  0.0000000
#> [59,]  0.0000000
#> [60,]  0.0000000
#> [61,]  0.0000000
#> [62,]  0.0000000
#> [63,]  1.2477863
#> [64,]  0.0000000
#> [65,]  0.7073457
#> [66,]  0.0000000
#> [67,] -0.7091667
#> [68,]  0.0000000
#> [69,]  0.0000000
#> [70,]  0.0000000
#> [71,]  0.0000000
#> [72,]  0.0000000
#> [73,]  0.0000000
#> [74,]  0.0000000
#> [75,]  0.0000000
#> [76,]  0.0000000
#> [77,]  0.0000000
#> [78,]  0.0000000
#> [79,]  0.0000000
#> [80,]  0.0000000
#> 
#> $betamat[[2]]
#>              [,1]
#>  [1,] -0.86212193
#>  [2,] -0.36992042
#>  [3,]  0.00000000
#>  [4,]  0.00000000
#>  [5,]  0.00000000
#>  [6,]  0.00000000
#>  [7,]  0.00000000
#>  [8,]  1.04469521
#>  [9,] -0.48413708
#> [10,]  0.00000000
#> [11,]  1.17256156
#> [12,] -0.23660045
#> [13,]  0.00000000
#> [14,]  0.00000000
#> [15,]  0.00000000
#> [16,]  0.00000000
#> [17,]  0.00000000
#> [18,]  0.00000000
#> [19,]  0.00000000
#> [20,] -0.49032573
#> [21,]  0.00000000
#> [22,]  0.00000000
#> [23,]  0.00000000
#> [24,]  0.00000000
#> [25,] -0.91257030
#> [26,] -0.13077924
#> [27,]  0.00000000
#> [28,]  0.00000000
#> [29,]  0.00000000
#> [30,]  0.00000000
#> [31,]  0.83111793
#> [32,]  0.00000000
#> [33,]  0.00000000
#> [34,]  0.00000000
#> [35,]  0.00000000
#> [36,]  0.00000000
#> [37,]  1.10067784
#> [38,]  0.00000000
#> [39,]  0.00000000
#> [40,]  0.00000000
#> [41,]  0.00000000
#> [42,]  0.00000000
#> [43,]  0.00000000
#> [44,]  0.00000000
#> [45,]  0.00000000
#> [46,]  0.00000000
#> [47,]  0.00000000
#> [48,]  0.00000000
#> [49,]  0.00000000
#> [50,]  0.00000000
#> [51,]  0.00000000
#> [52,]  0.31953710
#> [53,] -0.23795064
#> [54,]  1.11187906
#> [55,]  1.18098980
#> [56,]  0.00000000
#> [57,] -1.01357763
#> [58,]  0.00000000
#> [59,]  0.07075225
#> [60,]  0.00000000
#> [61,]  0.00000000
#> [62,]  0.00000000
#> [63,]  1.51565769
#> [64,] -0.40385645
#> [65,]  0.62313514
#> [66,]  0.00000000
#> [67,] -0.78567699
#> [68,]  0.00000000
#> [69,]  0.00000000
#> [70,]  0.00000000
#> [71,]  0.00000000
#> [72,]  0.62572483
#> [73,]  0.00000000
#> [74,]  0.00000000
#> [75,]  0.09084203
#> [76,]  0.00000000
#> [77,]  0.00000000
#> [78,]  0.00000000
#> [79,]  0.00000000
#> [80,]  0.00000000
#> 
#> $betamat[[3]]
#>               [,1]
#>  [1,] -1.171119073
#>  [2,] -0.234406626
#>  [3,]  0.000000000
#>  [4,]  0.000000000
#>  [5,] -0.533880267
#>  [6,] -0.686114442
#>  [7,]  0.000000000
#>  [8,]  0.779049730
#>  [9,] -0.287926134
#> [10,]  0.000000000
#> [11,]  1.497745266
#> [12,] -0.131597442
#> [13,]  0.000000000
#> [14,]  0.000000000
#> [15,]  0.000000000
#> [16,]  0.000000000
#> [17,]  0.000000000
#> [18,]  0.000000000
#> [19,]  0.000000000
#> [20,] -0.476895084
#> [21,]  0.000000000
#> [22,]  0.000000000
#> [23,]  0.000000000
#> [24,] -0.232823771
#> [25,] -1.128029382
#> [26,]  0.128990372
#> [27,]  0.000000000
#> [28,]  0.000000000
#> [29,]  0.507017331
#> [30,]  0.000000000
#> [31,]  1.295845099
#> [32,]  0.000000000
#> [33,] -0.281219490
#> [34,]  0.000000000
#> [35,]  0.000000000
#> [36,]  0.000000000
#> [37,]  1.222934622
#> [38,]  0.000000000
#> [39,]  0.000000000
#> [40,]  0.000000000
#> [41,]  0.000000000
#> [42,]  0.000000000
#> [43,]  0.000000000
#> [44,]  0.000000000
#> [45,]  0.000000000
#> [46,] -0.746965403
#> [47,]  0.000000000
#> [48,] -0.500263138
#> [49,]  0.000000000
#> [50,]  0.000000000
#> [51,]  0.000000000
#> [52,]  0.246412936
#> [53,] -0.003878009
#> [54,]  1.791610342
#> [55,]  1.756653711
#> [56,] -0.245631572
#> [57,] -0.742289960
#> [58,]  0.000000000
#> [59,] -0.084675263
#> [60,]  0.000000000
#> [61,]  0.000000000
#> [62,]  0.000000000
#> [63,]  1.771166134
#> [64,] -0.933886843
#> [65,]  0.956287359
#> [66,]  0.000000000
#> [67,] -0.978427974
#> [68,]  0.000000000
#> [69,]  0.000000000
#> [70,]  0.000000000
#> [71,]  0.000000000
#> [72,]  0.821278914
#> [73,]  0.000000000
#> [74,]  0.000000000
#> [75,] -0.302285464
#> [76,]  0.068701595
#> [77,]  0.000000000
#> [78,]  0.000000000
#> [79,]  0.000000000
#> [80,]  0.000000000
#> 
#> $betamat[[4]]
#>               [,1]
#>  [1,] -1.110230601
#>  [2,] -0.420515768
#>  [3,]  0.000000000
#>  [4,] -0.327484124
#>  [5,] -0.622140159
#>  [6,] -0.962490103
#>  [7,]  0.000000000
#>  [8,]  0.905746074
#>  [9,] -0.361458784
#> [10,]  0.000000000
#> [11,]  2.004616697
#> [12,]  0.407659268
#> [13,]  0.000000000
#> [14,] -0.835888231
#> [15,]  0.000000000
#> [16,] -0.132115049
#> [17,]  0.000000000
#> [18,] -0.204623628
#> [19,]  0.000000000
#> [20,] -0.460791300
#> [21,]  0.000000000
#> [22,]  0.173319897
#> [23,] -0.058380629
#> [24,] -0.640244260
#> [25,] -0.603708480
#> [26,]  0.088886150
#> [27,] -0.337262167
#> [28,] -0.498400880
#> [29,]  0.409966939
#> [30,]  0.000000000
#> [31,]  2.148314013
#> [32,]  0.000000000
#> [33,] -0.202689833
#> [34,] -0.250010693
#> [35,]  0.949449999
#> [36,] -0.249780167
#> [37,]  1.589408557
#> [38,]  0.000000000
#> [39,]  0.000000000
#> [40,]  0.934232807
#> [41,]  0.000000000
#> [42,]  0.000000000
#> [43,]  0.810125383
#> [44,]  0.000000000
#> [45,]  0.191131343
#> [46,] -0.905124526
#> [47,]  0.000000000
#> [48,] -0.945365581
#> [49,]  0.000000000
#> [50,]  0.000000000
#> [51,]  0.000000000
#> [52,]  0.122384707
#> [53,] -0.174692872
#> [54,]  2.072477954
#> [55,]  2.191792750
#> [56,] -0.009214285
#> [57,] -0.382719893
#> [58,]  0.543943055
#> [59,] -0.049375394
#> [60,]  0.000000000
#> [61,]  0.141285897
#> [62,]  0.000000000
#> [63,]  2.159730784
#> [64,] -0.976502264
#> [65,]  0.926728788
#> [66,] -0.076795062
#> [67,] -0.637104537
#> [68,]  0.156050078
#> [69,]  0.000000000
#> [70,]  0.000000000
#> [71,]  0.000000000
#> [72,]  0.927629120
#> [73,] -0.190812959
#> [74,]  0.000000000
#> [75,] -0.249960967
#> [76,]  0.067478945
#> [77,] -0.832673884
#> [78,]  0.000000000
#> [79,] -0.473067234
#> [80,] -0.054962261
#> 
#> $betamat[[5]]
#>              [,1]
#>  [1,] -1.42843370
#>  [2,] -0.66864486
#>  [3,]  0.00000000
#>  [4,] -0.45490510
#>  [5,] -1.13474055
#>  [6,] -1.05775300
#>  [7,]  0.00000000
#>  [8,]  1.02793011
#>  [9,] -0.49572258
#> [10,]  0.00000000
#> [11,]  2.61468023
#> [12,]  0.79479257
#> [13,] -0.47576833
#> [14,] -1.13826777
#> [15,]  0.00000000
#> [16,] -0.18120372
#> [17,]  0.00000000
#> [18,]  0.01501336
#> [19,]  0.73325353
#> [20,] -0.68391303
#> [21,] -0.19311264
#> [22,]  0.43068468
#> [23,] -0.23799176
#> [24,] -1.22606026
#> [25,] -0.58889929
#> [26,]  0.10030252
#> [27,] -0.32532792
#> [28,] -0.79613163
#> [29,]  0.41868509
#> [30,]  0.00000000
#> [31,]  2.57775194
#> [32,]  0.00000000
#> [33,]  0.00137820
#> [34,] -0.29357175
#> [35,]  1.36114266
#> [36,] -0.37973096
#> [37,]  1.64073719
#> [38,]  0.00000000
#> [39,]  0.00000000
#> [40,]  1.17722389
#> [41,]  0.00000000
#> [42,]  0.00000000
#> [43,]  1.19999610
#> [44,] -0.67104550
#> [45,]  0.29749751
#> [46,] -1.19302735
#> [47,]  0.00000000
#> [48,] -1.14945359
#> [49,]  0.00000000
#> [50,]  0.00000000
#> [51,] -0.07987715
#> [52,]  0.08925741
#> [53,] -0.23979693
#> [54,]  2.29790023
#> [55,]  2.42973945
#> [56,]  0.18094172
#> [57,] -0.27629081
#> [58,]  0.47032500
#> [59,] -0.26162531
#> [60,]  0.00000000
#> [61,] -0.22149349
#> [62,]  1.08901810
#> [63,]  2.46950671
#> [64,] -1.09967510
#> [65,]  0.99332921
#> [66,] -0.24883050
#> [67,] -0.46496937
#> [68,] -0.02988520
#> [69,]  1.05303158
#> [70,]  0.00000000
#> [71,] -0.42546873
#> [72,]  0.96445093
#> [73,] -0.14875440
#> [74,]  0.00000000
#> [75,] -0.31108456
#> [76,] -0.02601314
#> [77,] -0.91528977
#> [78,]  0.00000000
#> [79,] -0.55508462
#> [80,]  0.19856030
#> 
#> $betamat[[6]]
#>               [,1]
#>  [1,] -1.918508626
#>  [2,] -0.907145380
#>  [3,] -0.483550479
#>  [4,] -0.626219045
#>  [5,] -1.549361109
#>  [6,] -0.857047964
#>  [7,]  0.000000000
#>  [8,]  1.461566522
#>  [9,] -0.736925786
#> [10,]  0.000000000
#> [11,]  3.435121043
#> [12,]  1.160263052
#> [13,] -0.608390598
#> [14,] -1.116565155
#> [15,]  0.244046600
#> [16,]  0.008343426
#> [17,]  0.000000000
#> [18,]  0.475538006
#> [19,]  0.822412603
#> [20,] -0.778435719
#> [21,] -0.450031658
#> [22,]  0.857787312
#> [23,] -0.584006204
#> [24,] -1.841802587
#> [25,] -0.365953266
#> [26,]  0.114201896
#> [27,] -0.773531174
#> [28,] -1.492096051
#> [29,]  0.041045855
#> [30,]  0.000000000
#> [31,]  3.093250236
#> [32,]  0.000000000
#> [33,] -0.186678738
#> [34,] -0.392462038
#> [35,]  1.945518289
#> [36,] -0.642608431
#> [37,]  1.837094911
#> [38,]  0.000000000
#> [39,]  0.114886266
#> [40,]  1.485817519
#> [41,]  0.000000000
#> [42,] -1.115627285
#> [43,]  1.396078678
#> [44,] -1.168681754
#> [45,]  0.430595215
#> [46,] -1.389866459
#> [47,]  0.000000000
#> [48,] -1.192490628
#> [49,]  0.000000000
#> [50,] -0.242269122
#> [51,] -0.171474599
#> [52,]  0.206393794
#> [53,] -0.689283354
#> [54,]  2.666710947
#> [55,]  2.973736149
#> [56,]  0.145081940
#> [57,] -0.184321077
#> [58,]  0.422468700
#> [59,] -0.619303330
#> [60,] -0.790848244
#> [61,] -0.661137461
#> [62,]  1.558862938
#> [63,]  2.760487493
#> [64,] -0.886965047
#> [65,]  1.258487424
#> [66,] -0.406468119
#> [67,]  0.043849351
#> [68,] -0.171955897
#> [69,]  1.237647808
#> [70,]  0.000000000
#> [71,] -1.186358763
#> [72,]  0.923395214
#> [73,] -0.203943532
#> [74,]  0.000000000
#> [75,] -0.175005053
#> [76,] -0.020985226
#> [77,] -0.928648794
#> [78,]  0.000000000
#> [79,] -0.551097906
#> [80,]  0.558010653
#> 
#> 
#> $new2As
#> $new2As[[1]]
#>  [1]  8 20 25 31 37 52 54 55 57 63 65 67
#> 
#> $new2As[[2]]
#>  [1]  1  2  9 11 12 26 53 59 64 72 75
#> 
#> $new2As[[3]]
#> [1]  5  6 24 29 33 46 48 56 76
#> 
#> $new2As[[4]]
#>  [1]  4 14 16 18 22 23 27 28 34 35 36 40 43 45 58 61 66 68 73 77 79 80
#> 
#> $new2As[[5]]
#> [1] 13 19 21 44 51 62 69 71
#> 
#> $new2As[[6]]
#> [1]  3 15 39 42 50 60
#> 
#> 
#> $mu
#>            [,1]
#> [1,] -0.1434088
#> 
#> $meanx
#>  [1] 0.3782669 0.3809051 0.4177281 0.3912940 0.4082337 0.3836853 0.3820761
#>  [8] 0.3867995 0.4098681 0.3529733 0.3528950 0.4103617 0.3823800 0.4086794
#> [15] 0.3975514 0.3825561 0.3965111 0.4122644 0.4045401 0.3961760 0.3917129
#> [22] 0.3894717 0.4104081 0.3848767 0.4006978 0.3872685 0.3758471 0.3686865
#> [29] 0.3845324 0.3764442 0.4119124 0.3534128 0.3965159 0.4024439 0.3361844
#> [36] 0.4255774 0.3898105 0.3957836 0.3911251 0.3978670 0.3848866 0.3754391
#> [43] 0.3984619 0.3791862 0.3930092 0.3917154 0.4043294 0.3630059 0.3932208
#> [50] 0.3902471 0.4064515 0.3840116 0.4086117 0.4119127 0.4164178 0.3924465
#> [57] 0.4033200 0.4077141 0.3782406 0.4141082 0.3960607 0.4294279 0.3578725
#> [64] 0.3982966 0.4165695 0.4119925 0.3983239 0.3984892 0.4239729 0.3958449
#> [71] 0.3773284 0.3895506 0.3997604 0.4160543 0.4091262 0.3867198 0.4117366
#> [78] 0.4109092 0.4139729 0.4032162
#> 
#> $normx
#>  [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [39] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [77] 1 1 1 1
#> 
#> $normy
#> [1] 1
#> 
#> $eta
#> [1] 0.5
#> 
#> $K
#> [1] 6
#> 
#> $kappa
#> [1] 0.5
#> 
#> $select
#> [1] "pls2"
#> 
#> $fit
#> [1] "regression"
#> 
#> $projection
#> [1] NA
#> 
#> attr(,"class")
#> [1] "spls"
#> 
#> $DKsplsDR_modplsr
#> $call
#> pls(X = xA, Y = y, ncomp = min(k, length(A)), mode = fit, scale.X = FALSE, 
#>     scale.Y = FALSE)
#> 
#> $X
#>             [,1]          [,2]         [,3]         [,4]          [,5]
#> 1   6.217331e-01 -0.0465220822  0.026595227 -0.065314404  0.1251212801
#> 2  -4.388382e-02  0.6190948819  0.096793458  0.075562559 -0.0758915299
#> 3   6.605645e-02  0.1336164114  0.582271929  0.019564284  0.0902045609
#> 4  -5.228722e-02  0.0859514732 -0.006869755  0.608705967 -0.0179882787
#> 5   1.550882e-01 -0.0485629215  0.080710216 -0.001048585  0.5917662735
#> 6  -1.065964e-01 -0.1117459605 -0.114976681 -0.075500479  0.0049514527
#> 7   2.743325e-02 -0.0788048605 -0.071452852  0.036521809 -0.0353202157
#> 8  -7.412652e-02 -0.0751858031  0.089625661  0.006054485  0.0606455298
#> 9   1.368631e-01  0.0970363316  0.049792788 -0.013993407 -0.0602074625
#> 10  2.764584e-02  0.1943905020 -0.003261175 -0.014998154 -0.0299351749
#> 11 -2.109642e-02 -0.1845361910 -0.130955111 -0.091559933 -0.0040888351
#> 12 -4.280421e-02 -0.1194165460 -0.037896012 -0.019201040 -0.0351473803
#> 13 -7.575517e-02  0.0020757438 -0.035325378 -0.091476512 -0.0439902704
#> 14 -8.052366e-02 -0.0089521617 -0.009099111 -0.061250931 -0.0113861269
#> 15  1.350005e-01 -0.0067608741  0.021809262 -0.006598301 -0.0526300370
#> 16  7.121958e-02 -0.0177102248 -0.044191999 -0.069498054  0.2042315279
#> 17 -1.012094e-01 -0.0222682549 -0.108468534 -0.074287884 -0.1009128139
#> 18  1.830092e-01 -0.0176450861 -0.032093439 -0.013078012  0.0206620147
#> 19 -4.213534e-02 -0.0096642332  0.033184409  0.052454329 -0.0125750358
#> 20  9.035864e-03 -0.0725151288 -0.051677591 -0.066009757 -0.0776937698
#> 21  1.040653e-01  0.0991056423  0.024512836  0.016932521  0.0364390325
#> 22  9.719908e-03 -0.0408669938  0.006861808 -0.143286474  0.0647118013
#> 23 -6.984939e-02  0.0751254771  0.079039702  0.010843568 -0.0768313674
#> 24 -1.362108e-02 -0.0578160719  0.026665964  0.021884239  0.0410271919
#> 25 -2.279228e-02 -0.1238084159 -0.009480988 -0.119978732 -0.0411501223
#> 26 -3.923682e-02 -0.1002886125 -0.059291358  0.025536732 -0.0966486128
#> 27 -1.436628e-01 -0.0971645858 -0.088129728 -0.078109736 -0.0514954809
#> 28 -3.235474e-02 -0.1240204009  0.069207836 -0.077738111 -0.0171075616
#> 29 -6.544569e-02  0.0228221174 -0.024814336 -0.080699985 -0.1323908859
#> 30 -9.055329e-02 -0.0467346965 -0.122315906 -0.026099429 -0.0362721550
#> 31  4.104757e-02  0.0612517821  0.131861844 -0.076447288  0.0528141351
#> 32 -8.797451e-02  0.0684440815 -0.079336940  0.061336244 -0.0850920222
#> 33 -4.697541e-03  0.1273623329 -0.036801663 -0.025635324 -0.1448653748
#> 34 -6.887543e-02 -0.0774845136 -0.080165227 -0.018798792 -0.0955354207
#> 35 -8.264663e-03 -0.1421162514 -0.111538577 -0.089283530  0.0379111280
#> 36  6.550653e-03 -0.0274039117  0.039072792 -0.021281708  0.0087248056
#> 37 -2.859797e-02 -0.0957373694  0.018628296 -0.043755860  0.1160625407
#> 38 -3.601256e-02 -0.0947260491 -0.068276890 -0.066446693 -0.1089197151
#> 39 -2.549632e-02 -0.0233130295 -0.107706806 -0.121702056 -0.0809451739
#> 40  3.828981e-02 -0.0056288130  0.083513300 -0.029784608  0.0657150530
#> 41 -9.937892e-02  0.0587457301 -0.064636620  0.137150875 -0.1051667465
#> 42  7.014503e-02 -0.1242702820  0.002762682 -0.028284275  0.0700650207
#> 43 -2.079736e-02 -0.0280097388 -0.053407188  0.017603376 -0.0127933953
#> 44 -1.540313e-04  0.0703764769 -0.002547916 -0.063453693 -0.0963536389
#> 45 -6.020924e-02 -0.0282053249 -0.068805823 -0.050014598 -0.1516929304
#> 46 -5.564846e-02 -0.1561611603 -0.042226024 -0.034418504  0.2051638712
#> 47  9.358955e-02  0.0631491944  0.091255884  0.018787875  0.0693418512
#> 48 -9.983991e-02  0.0336424216 -0.087705478  0.127503866 -0.0486293188
#> 49  6.521668e-02 -0.0634521267 -0.062210960 -0.084234791  0.1826161066
#> 50  3.691770e-02 -0.0003201494 -0.069591688  0.065619898 -0.0337211363
#> 51  4.538771e-02  0.0656258608 -0.046522987  0.188043078 -0.0343387385
#> 52 -4.879991e-02  0.1513972955  0.084722282 -0.067466878  0.0061497195
#> 53  1.175226e-01  0.0378656052 -0.003812404 -0.062375964 -0.0808558147
#> 54 -8.999102e-02  0.1016326869  0.001504754  0.096471494  0.0328853367
#> 55 -2.357573e-02  0.1473838655  0.102712216  0.072022665  0.0573563963
#> 56  1.643829e-01 -0.0371669813 -0.029867667  0.106663356 -0.0599909678
#> 57  1.428987e-01  0.0172425782 -0.051557476 -0.002789887 -0.0420335303
#> 58 -9.577239e-02  0.1053569583 -0.108979396  0.004434934 -0.0734322712
#> 59  1.163081e-02 -0.1388746949 -0.086992337 -0.020230682 -0.0080959092
#> 60 -6.374366e-02 -0.1095730031 -0.032104795 -0.012367999 -0.0199415441
#> 61 -1.207544e-01 -0.0670964335  0.015084034  0.026960292 -0.0510595084
#> 62 -4.003960e-03  0.0809160398  0.008448568  0.061878593 -0.0135300278
#> 63 -8.788332e-02 -0.1039324511  0.056777250 -0.006528093  0.0111999277
#> 64  5.902253e-02  0.1443184711  0.076174538 -0.005517390  0.1378730474
#> 65  3.475756e-02  0.1445695098  0.063231522  0.119524888 -0.0369677402
#> 66 -6.486695e-03 -0.0059672999  0.184488879  0.009696232 -0.0446791992
#> 67  9.670542e-03 -0.0464270407  0.075595973  0.048769035 -0.0526361403
#> 68  8.668347e-02 -0.0692233911  0.001562931 -0.058320474  0.0674254514
#> 69  9.077011e-02  0.0656659044  0.113346061  0.038635032  0.1704825215
#> 70 -4.737696e-02 -0.0730870509 -0.075177068  0.009455389 -0.0881166795
#> 71 -1.542133e-02 -0.0213489837 -0.052593619  0.106152734  0.0372501499
#> 72 -6.058486e-02 -0.1310624534 -0.012152287 -0.087743052 -0.0288718801
#> 73 -7.603408e-02  0.0218271380 -0.039123965 -0.031858246 -0.0624577000
#> 74 -3.182623e-02  0.1128554854  0.052734046  0.157031145  0.0015965615
#> 75  1.623868e-02  0.0738815569  0.053833607 -0.022006787  0.0649004494
#> 76 -9.299033e-05 -0.1406291983 -0.054724071 -0.046132860  0.3137601974
#> 77 -1.047317e-01  0.0376061627 -0.011880230  0.091743672 -0.1027436984
#> 78 -2.027617e-02  0.0383848684  0.125469676 -0.028281124 -0.0007636247
#> 79 -1.029130e-01  0.0028256473 -0.039020004  0.018320665 -0.1009132301
#> 80  3.655671e-02  0.0606615730 -0.040086168 -0.062976756 -0.0742487422
#>            [,6]         [,7]         [,8]          [,9]         [,10]
#> 1  -0.112014896 -0.082659158  0.105261850  0.0042753850 -0.0748990772
#> 2  -0.114526170 -0.081080173  0.068073331 -0.1565261185 -0.1488731442
#> 3  -0.080933937  0.120554244  0.057652740 -0.0661220849 -0.0305296563
#> 4  -0.067891774  0.010549030 -0.032567494 -0.0531609461 -0.0382687237
#> 5   0.029499851  0.082079768 -0.061841855  0.0512498459 -0.0372753700
#> 6   0.616314672 -0.004419341 -0.061634271  0.0573651765  0.0368160597
#> 7  -0.041754821 -0.006625585 -0.010831922  0.1369800704  0.0517140124
#> 8  -0.001305181  0.613200512 -0.094679497  0.1286456639 -0.0656175141
#> 9  -0.035451480 -0.071610866  0.590131881 -0.0235258352 -0.1223301378
#> 10 -0.100952991 -0.099246021 -0.087036437 -0.1041053557 -0.1522578176
#> 11  0.026574894  0.094741221 -0.080498909  0.6471049545  0.0571807410
#> 12  0.063492448 -0.042055286 -0.121836541  0.1146474116  0.5896382838
#> 13 -0.021360069  0.007050596 -0.020536008  0.0333552749 -0.0244486974
#> 14  0.138312824 -0.020160920 -0.068883221 -0.0668715194  0.0839426981
#> 15 -0.120103368 -0.002202646  0.190701126  0.0231164355 -0.0467413167
#> 16  0.025003768  0.022051474  0.005867227 -0.0214893895 -0.1312721013
#> 17  0.018438033 -0.109077466 -0.012955832 -0.0188635976  0.1418079661
#> 18  0.037533162 -0.028263157  0.071453492 -0.0334769697  0.0144834935
#> 19 -0.059392691 -0.023364960  0.155831667 -0.0192213041 -0.0394697274
#> 20  0.021487686 -0.015785126  0.053061265  0.0535124679  0.0350054998
#> 21 -0.054511063 -0.108110046 -0.032240588 -0.0954056563 -0.1089518450
#> 22  0.038887501  0.008047178 -0.013366068  0.0040060974  0.0569592430
#> 23 -0.058243967 -0.015416779 -0.032954062 -0.0875198757 -0.0393509756
#> 24 -0.013211879  0.056170700 -0.073161736  0.0005686812 -0.0449215620
#> 25  0.150744458 -0.013024045 -0.030891583 -0.0206049131  0.1894624442
#> 26  0.079610097 -0.069800655 -0.071170558  0.1094727331  0.1721960160
#> 27  0.048203313 -0.002380777 -0.074395787  0.0822481932  0.0308586572
#> 28 -0.060659315  0.080434243 -0.001717745  0.0037784416 -0.0467388954
#> 29  0.062624379 -0.156831845  0.084840402 -0.0552758698  0.0220575177
#> 30  0.025163000 -0.130995414 -0.131486267 -0.0215366092  0.0675324480
#> 31 -0.045886290 -0.043208738 -0.013823751 -0.0504170857  0.0001149949
#> 32 -0.093019042 -0.087629876 -0.174046036 -0.1054566986  0.0004836162
#> 33  0.003127973 -0.144146766  0.120759894 -0.1118231945 -0.0930830761
#> 34 -0.045694519  0.028681199 -0.050864289 -0.0226599163  0.0412569967
#> 35  0.025561161  0.014087058 -0.150767380 -0.0150283790 -0.0994188899
#> 36 -0.044604001  0.034951599 -0.058630372  0.0069480704  0.0935943646
#> 37  0.005347487  0.004013998 -0.025039545  0.0383554902 -0.0150405460
#> 38  0.102507950 -0.088515459 -0.030629766  0.0876725963  0.1589683222
#> 39  0.147513341 -0.161395212  0.021754945  0.0090149845  0.0459225548
#> 40  0.002285011  0.005154538  0.074337202 -0.0882813534 -0.0353653739
#> 41  0.020924683 -0.046815106  0.031065978 -0.0659847911 -0.0231581510
#> 42 -0.060869390  0.186156627 -0.058388112  0.0774650246 -0.0950052213
#> 43 -0.028473593 -0.086660574 -0.128413171 -0.0040584230  0.1285161234
#> 44  0.082990044 -0.124483309  0.069938438 -0.1039565335 -0.0655262738
#> 45  0.031945488 -0.040088430  0.179513778  0.0596981266  0.0133679118
#> 46  0.168313232  0.128664500 -0.173631932  0.0880390057  0.0935978952
#> 47 -0.024142895 -0.023637485  0.074907072  0.0047210286 -0.0634898663
#> 48  0.050599483  0.013976846  0.004505912  0.0073477570 -0.1112762594
#> 49  0.097431859 -0.022760983 -0.029699873  0.1335523341 -0.0170276986
#> 50 -0.103947897 -0.006888028 -0.045958414  0.0468326967 -0.0237627157
#> 51 -0.076609519 -0.042417651  0.057392843 -0.0160089618 -0.0361741484
#> 52 -0.049115238  0.019532169  0.095681534 -0.1069502467 -0.2000035685
#> 53 -0.022340638 -0.060379727  0.323447322 -0.0646860827 -0.0998651312
#> 54  0.048564344  0.018491329 -0.120166825 -0.0308862532 -0.0299809546
#> 55 -0.043705735  0.001703565  0.026213837 -0.1232596317 -0.1460314083
#> 56 -0.097595882 -0.093702765 -0.010497044 -0.0584900445 -0.0190211353
#> 57 -0.083961982 -0.108399534  0.009228616 -0.0711632056 -0.0420223582
#> 58  0.103308897 -0.078823756 -0.060519403 -0.0148053252  0.0034210523
#> 59  0.022798246  0.021221788 -0.150507425  0.1092898241  0.1292829070
#> 60  0.083816874 -0.027643836 -0.114416037  0.0363011041  0.2159081076
#> 61 -0.059053535  0.090712389 -0.062819538  0.0643734493  0.0213894624
#> 62 -0.065151239 -0.029883313  0.041380395 -0.0247791512  0.0155026678
#> 63 -0.075919539  0.165044908 -0.021140342  0.0064040280 -0.0892789772
#> 64 -0.018744878 -0.010636823  0.048471997 -0.1011718884 -0.1056498518
#> 65 -0.052939798  0.107036602  0.154595066  0.0067302809 -0.1416447123
#> 66 -0.057567092  0.061645635  0.005879840  0.0019396500  0.0403282824
#> 67 -0.096040005  0.011894818 -0.036422338 -0.0449282254  0.1314729575
#> 68 -0.095179415  0.037173366  0.104494242  0.0433821153 -0.0653454274
#> 69 -0.121179974  0.096609680  0.037755785  0.0150074330 -0.0837851552
#> 70  0.081590860  0.084603967 -0.007648857 -0.0389550640  0.0049798466
#> 71 -0.053275663 -0.048804852 -0.127540118  0.0307364328  0.0801930613
#> 72 -0.003954993  0.071205275  0.031140341  0.0222415669 -0.0041909493
#> 73  0.030729656 -0.007721275 -0.005456999  0.0581645595 -0.0649882508
#> 74 -0.051479965 -0.010198648 -0.014666216 -0.0646475284  0.0618960342
#> 75 -0.001201694  0.185025062  0.092399884 -0.0236877755 -0.1197035877
#> 76  0.015180229  0.094871548 -0.135888401  0.1487500262  0.0321333817
#> 77  0.020875981 -0.009768206 -0.033292497 -0.0730282528  0.0372763845
#> 78 -0.053735062  0.025436784 -0.032246030 -0.1253225295  0.0390559440
#> 79 -0.014203406 -0.007246543 -0.060383051 -0.0346708415  0.0977135958
#> 80  0.054603595 -0.107807057  0.060450237 -0.1244809893  0.0057547044
#>            [,11]         [,12]         [,13]        [,14]        [,15]
#> 1  -7.986833e-02 -1.109362e-01  0.1157159416  0.066930360  0.149011702
#> 2   6.008496e-04 -3.672641e-02 -0.0234071220 -0.019361179 -0.049004319
#> 3   2.268161e-05 -5.040287e-05  0.0419859677 -0.009019999 -0.026629718
#> 4  -8.256249e-02 -7.863626e-02 -0.0128556340 -0.060760093 -0.034048331
#> 5  -1.813656e-02 -1.183176e-02 -0.0419476765  0.229909182  0.016631390
#> 6  -2.005475e-02  1.133188e-01 -0.1339694058  0.026133024  0.008954139
#> 7  -1.627232e-01 -2.643505e-03 -0.0534032092 -0.104587670 -0.052442367
#> 8   1.147007e-02 -4.204079e-02 -0.0129545237  0.026294890 -0.053728020
#> 9   6.952099e-03 -6.769447e-02  0.2030178786  0.033179274  0.069057259
#> 10 -3.911843e-02 -1.291102e-01 -0.0639258162 -0.092983800 -0.094362928
#> 11  3.870308e-03 -1.226558e-01 -0.0215398849 -0.051150416 -0.092846276
#> 12  3.533007e-03  8.562505e-02 -0.0339309665 -0.103466457  0.012580858
#> 13  6.176200e-01 -1.064980e-01  0.1464591234 -0.035312685 -0.107622137
#> 14 -8.019864e-02  5.913206e-01 -0.1619457942  0.032794164 -0.021159644
#> 15  1.616305e-01 -1.730738e-01  0.6024486340 -0.007714688  0.056184731
#> 16 -3.513663e-02  6.670873e-03 -0.0227099824  0.617443928  0.129667259
#> 17  1.119376e-01  4.130467e-02 -0.0191021873 -0.012364258  0.091929218
#> 18 -7.773780e-02 -1.757466e-02  0.0708977165  0.159375539  0.587735649
#> 19  5.670272e-02 -4.153709e-02  0.1056912649 -0.111992927 -0.072278941
#> 20 -1.245959e-01  1.937779e-01 -0.0708865816 -0.037668354 -0.018726284
#> 21 -1.149085e-01 -7.650341e-03 -0.0524840510  0.123476107  0.077492674
#> 22  6.698318e-02  6.754598e-02  0.0028721464  0.068693970 -0.028407718
#> 23  7.132327e-02 -2.981704e-02  0.0318607307 -0.035330238 -0.017662926
#> 24 -1.558672e-01  1.412828e-01 -0.1160771829  0.118254445 -0.024292011
#> 25 -6.882266e-02  1.516911e-01 -0.0361763730 -0.063319098  0.073635354
#> 26 -1.151675e-01  3.380428e-02 -0.1147158566 -0.113960232 -0.029335325
#> 27  3.130257e-01 -1.155350e-01  0.0192479504 -0.068388410 -0.107951464
#> 28  4.216680e-03 -1.418366e-01  0.1095449895 -0.001622326 -0.043122323
#> 29 -4.271684e-02 -5.486391e-03 -0.0005669311 -0.030517712  0.044296606
#> 30 -1.248812e-01  3.760230e-02 -0.1501185685 -0.060198608  0.005521514
#> 31  9.034978e-04  1.400196e-02  0.0359350874  0.011878237 -0.048033075
#> 32 -1.000133e-01 -3.075000e-02 -0.1214161859 -0.075465877 -0.105444154
#> 33  8.141323e-02 -4.440691e-02  0.0482754084 -0.035631798 -0.042493990
#> 34  6.176974e-04  1.006058e-01 -0.0418854186 -0.061313235 -0.015075793
#> 35  1.794617e-02 -1.193130e-01 -0.0774469865  0.037725516 -0.108728448
#> 36  1.221118e-02 -3.822012e-03  0.0121023209 -0.071689684 -0.022898950
#> 37 -9.242481e-02  6.494721e-02 -0.0709715747  0.046466912 -0.015215571
#> 38 -7.747655e-03  2.005634e-02 -0.0149179511 -0.045538579  0.092019331
#> 39 -1.035268e-01  1.024504e-01 -0.1289530948  0.032391313  0.075964966
#> 40 -5.033107e-02  5.350038e-02  0.0177058718  0.156959919 -0.040214280
#> 41 -7.222981e-02 -3.027611e-02  0.0021896213 -0.048755387  0.020431700
#> 42  6.587956e-02 -1.720454e-01  0.1350739778  0.012865795  0.007850574
#> 43 -1.130526e-03  1.653827e-02 -0.0311393746 -0.025585720 -0.031491327
#> 44 -7.707106e-02 -2.869237e-02 -0.0737674571 -0.024558809 -0.030769787
#> 45 -3.146883e-02  2.435300e-02  0.0063289433 -0.086320411  0.085001688
#> 46 -5.391372e-02  3.250975e-02 -0.1587201701  0.073872326  0.015184274
#> 47 -3.592806e-02 -4.327193e-02  0.0003970966  0.006181738  0.074293645
#> 48 -1.298959e-02 -1.550911e-01 -0.0376600749 -0.070162191 -0.021595015
#> 49  1.259291e-01 -5.083316e-02 -0.0618380647  0.163644954  0.015627736
#> 50  2.894197e-02 -1.224440e-01  0.0296263925 -0.095953507 -0.018277869
#> 51  1.053043e-01 -1.408295e-01  0.1682747139 -0.078348808  0.020947775
#> 52  1.207177e-01 -9.125669e-02  0.0499921436  0.130471689 -0.074955589
#> 53  7.116280e-02 -1.101978e-01  0.2272997265  0.005855124  0.066131365
#> 54 -4.262745e-02  1.810567e-02 -0.1021840144 -0.002794088 -0.007280324
#> 55 -5.911701e-02  2.936233e-02 -0.0605603424  0.104055604  0.044858448
#> 56 -7.545836e-02 -1.168341e-01  0.0808474952 -0.021576109  0.103059958
#> 57 -5.945108e-02 -1.675119e-03  0.0176340864  0.034990347  0.129138856
#> 58 -2.979897e-02  1.487238e-01 -0.1192042394 -0.035918582 -0.042261263
#> 59 -1.417805e-01  3.434006e-02 -0.1172667003 -0.101928029 -0.012050374
#> 60  2.534595e-02  1.147866e-01 -0.0131245032 -0.108618274 -0.033934050
#> 61 -2.552549e-02 -4.601091e-03 -0.0327098864 -0.131995517 -0.103034145
#> 62  2.638165e-01 -6.540028e-02  0.1469990779 -0.062352585 -0.053715896
#> 63 -4.172785e-02 -1.076812e-01  0.0483996533  0.007059023 -0.155729810
#> 64  8.582348e-02 -2.996221e-02 -0.0206843340  0.137922475  0.030895969
#> 65 -5.694026e-03 -7.550873e-02  0.0708290603  0.036602900  0.103581645
#> 66 -4.362373e-02  5.249321e-02 -0.0091733386 -0.098020462 -0.088246615
#> 67 -2.184756e-02  5.134791e-02  0.0167621114 -0.042350532  0.106558740
#> 68 -5.860157e-02 -6.397929e-04  0.0935093411  0.124516874  0.020025266
#> 69 -1.613103e-02  1.959759e-02  0.0229010539  0.010782370 -0.043189807
#> 70 -8.622236e-02  6.230350e-02  0.0095053239 -0.050506876  0.084914875
#> 71 -5.673391e-02 -1.054209e-01 -0.0536723403 -0.096345494 -0.107869032
#> 72 -6.438264e-02  4.718861e-02 -0.0012609491 -0.029385473 -0.016107781
#> 73  2.513720e-01 -2.328019e-02  0.0206405797 -0.061426373 -0.106377976
#> 74  3.197679e-03  8.261607e-03 -0.0289820310 -0.075982846 -0.014389220
#> 75  1.003749e-01  4.913286e-02  0.0311326237  0.081319153 -0.047469990
#> 76 -8.570528e-03 -5.669788e-02 -0.0981564404  0.137814179 -0.035182716
#> 77  8.795502e-02  9.539292e-02  0.0052534411 -0.143069924 -0.139815459
#> 78  2.406521e-03  9.783219e-02 -0.0344748317  0.006163973 -0.009663387
#> 79  2.857580e-03  1.921067e-01 -0.0684710339 -0.103915276 -0.094119892
#> 80 -6.549966e-02  5.838309e-02 -0.0259984100  0.043204292  0.140067152
#>            [,16]         [,17]        [,18]         [,19]        [,20]
#> 1  -0.0684086052 -0.0088732480  0.090619247 -0.0014849392 -0.101990614
#> 2  -0.0332992309 -0.0877859749  0.088297869 -0.0494335744  0.045622523
#> 3   0.0463723646 -0.0301254838  0.050528016  0.0351181813  0.086359702
#> 4   0.0392082456 -0.0708916886  0.016513663 -0.1414641401 -0.008270472
#> 5  -0.0088814250 -0.0656360075  0.052959868  0.0834738291 -0.079005713
#> 6  -0.0802474792  0.0089970494 -0.062538626  0.0331011306 -0.084966711
#> 7  -0.0323653610  0.1647980220  0.050784967 -0.0414968344 -0.071934177
#> 8  -0.0411055873 -0.0251616021 -0.113023449  0.0053749672 -0.039025363
#> 9   0.1611596704  0.0667534198 -0.014085360  0.0070303524 -0.033494015
#> 10 -0.1165372138 -0.1284562024  0.146746896 -0.1152490678  0.012194952
#> 11 -0.0708663743  0.0102315493 -0.134223502 -0.0325705557 -0.145032902
#> 12 -0.0336481269  0.0491912519 -0.090303020  0.0778492605 -0.039397331
#> 13  0.0345426172 -0.1383918185 -0.124241379  0.0598914921  0.043295215
#> 14 -0.0373978469  0.2062813042  0.009316131  0.0867536454 -0.031545745
#> 15  0.0987025151 -0.0695111797 -0.046645576  0.0109518137  0.019004025
#> 16 -0.1339769709 -0.0512882465  0.114319288  0.0617783434 -0.063182238
#> 17  0.0118721441  0.0003937444 -0.093373876 -0.0014291074  0.036385422
#> 18 -0.0645547057 -0.0026378967  0.098044134 -0.0056150653 -0.015806647
#> 19  0.5954598843  0.0426372981 -0.157707717 -0.0826414800 -0.009036622
#> 20  0.0342731465  0.6038240359 -0.049790042 -0.0294484297 -0.101945297
#> 21 -0.1705349419 -0.0542531150  0.608287109  0.0064104031  0.040671763
#> 22 -0.0977098970 -0.0361526952  0.004169211  0.6105283013 -0.013084141
#> 23 -0.0031686662 -0.0877131891  0.059366944  0.0078522325  0.589591928
#> 24 -0.0725935762  0.1029463193  0.027403033 -0.0878315104 -0.101859368
#> 25 -0.0442921056  0.0654322190 -0.009102514  0.1405062723 -0.028312784
#> 26 -0.0487022050  0.1003301250 -0.066718402 -0.0492328147 -0.043614507
#> 27 -0.0012133964 -0.1766385534 -0.141575124  0.0570740143  0.063894286
#> 28 -0.0402159971 -0.1285498112 -0.087568924  0.0582237046  0.022111951
#> 29  0.0344398647  0.0062104121 -0.048899320 -0.0558503319 -0.008992030
#> 30 -0.1049727512  0.0085547207  0.054375657 -0.0543848539 -0.043312532
#> 31 -0.0372790052 -0.0841653587  0.043263553  0.1589110737  0.054757846
#> 32 -0.1383965480 -0.0788480240  0.059747412 -0.0086841900  0.014403313
#> 33  0.0311173885 -0.0152384999  0.051056644 -0.0297125588  0.041590151
#> 34  0.1375511020  0.0585551838 -0.156572638 -0.0806358682 -0.030067764
#> 35 -0.1248300227 -0.1146395189 -0.102925433 -0.1114400150 -0.080528257
#> 36  0.0880182097 -0.0633503226 -0.084281678  0.0389675653  0.131848161
#> 37  0.0418989384  0.0695317569 -0.035027846 -0.0200691101 -0.120268568
#> 38 -0.0243276693  0.0026026060 -0.011874051  0.0042816751 -0.054196316
#> 39 -0.1238092053  0.0755305949  0.109834101  0.0036541923 -0.026603269
#> 40 -0.0454415822 -0.0102119804  0.039169633  0.1712884780 -0.023311364
#> 41 -0.0172048112 -0.0160410493  0.032135913 -0.0097868007  0.006366720
#> 42 -0.0428181785 -0.1282855901 -0.060126249 -0.0392827074  0.063950167
#> 43 -0.0542954330  0.0379386657  0.125473354  0.1043781089 -0.017320348
#> 44 -0.1350203675 -0.0313113893  0.061370311  0.0564284140  0.016829522
#> 45  0.0649258201  0.2468205833 -0.103298319 -0.0492940872 -0.053989559
#> 46 -0.1337620344 -0.0629878014  0.008023394  0.0375714811 -0.042906601
#> 47 -0.0365046921  0.0239165291  0.140202448 -0.0573707612 -0.001608197
#> 48 -0.0406428412 -0.0862480641 -0.090745237 -0.0710020681 -0.102026247
#> 49 -0.0942271847 -0.1235882691  0.012876660  0.0428635959  0.030100631
#> 50 -0.0103413885 -0.0949142121 -0.024822247 -0.1184492213  0.064486679
#> 51  0.1700244329 -0.0614060243 -0.044633516 -0.1042931495 -0.047297640
#> 52 -0.0716772284 -0.1351415190  0.024328658  0.0566893219  0.108369595
#> 53  0.0856135585 -0.0550779662 -0.047568083  0.0187363766  0.035087718
#> 54 -0.0647398749 -0.0483926758  0.108572961 -0.0636516168  0.060584758
#> 55 -0.0204278357 -0.0736736694  0.181804565 -0.0772879388  0.120399135
#> 56 -0.0354940408  0.0455311900  0.155412843 -0.1328953960  0.026389294
#> 57  0.0643724479  0.0632403009  0.083615334 -0.0930436055 -0.034757170
#> 58 -0.0431211988  0.0688178073  0.036027584 -0.0917712692 -0.028661735
#> 59 -0.1157529321  0.1161143602  0.021156255 -0.0340461421 -0.132856665
#> 60  0.0934162511 -0.0024739694 -0.026026317 -0.0433959725  0.067732458
#> 61  0.1793745864  0.0451821243 -0.108716261 -0.1250098163  0.077267464
#> 62  0.1057012120 -0.1175849330 -0.026238864  0.0586451277  0.202828466
#> 63 -0.0204102488 -0.0706034324 -0.126085291 -0.0504959268 -0.045171454
#> 64 -0.0776018558 -0.1136273783  0.018511968  0.1432323331  0.008703524
#> 65  0.0241484741 -0.0653630283  0.006142107 -0.0885993614  0.079969294
#> 66  0.0838159683  0.0581486856 -0.055581439  0.0070204825  0.096296695
#> 67 -0.0001752431  0.0519446995  0.003919728  0.0001183817  0.049676807
#> 68  0.0053897486  0.1492246355  0.055741205 -0.0216262467 -0.072080918
#> 69  0.1727800481  0.0692872231 -0.008429049 -0.0217574148  0.017680255
#> 70  0.0001678800  0.0744549284 -0.104068714 -0.0099795159 -0.089164300
#> 71 -0.0904169566 -0.1115863920  0.029853426  0.0015230244 -0.069452845
#> 72  0.1361334755  0.0657047922 -0.130057252 -0.0493830822 -0.100825113
#> 73  0.0447500666 -0.0458826287 -0.079730317  0.0226236600  0.105982216
#> 74  0.0576145043  0.0172375031  0.014887806 -0.0412223475 -0.065542335
#> 75  0.0555180446  0.0183639737 -0.055031315  0.0963428052 -0.065394469
#> 76 -0.0847564387 -0.0743701914 -0.039664107 -0.0473515340 -0.117249888
#> 77  0.1733244079  0.0205435439 -0.102578406  0.0071795974  0.097182684
#> 78  0.0773786176 -0.0189703348 -0.042726190  0.0483284625 -0.028862829
#> 79  0.1427448496  0.2589162333 -0.119079456 -0.0726706698 -0.002030677
#> 80 -0.1036432037 -0.0081384561  0.130825212  0.0916389975 -0.021631584
#>            [,21]        [,22]        [,23]        [,24]         [,25]
#> 1  -0.0202309310 -0.045223180 -0.048238481 -0.141243065 -0.0227743581
#> 2  -0.0617876610 -0.143601052 -0.106652006 -0.092106584 -0.1118017501
#> 3   0.0595173282  0.007549329 -0.028831798 -0.046248772  0.1182494406
#> 4   0.0283015644 -0.129382454  0.029562254 -0.062662819 -0.0551305450
#> 5   0.0643842112 -0.033614150 -0.075683397 -0.019108870  0.0224396976
#> 6  -0.0144032587  0.133732031  0.076026914  0.056041525 -0.0456604545
#> 7   0.0434058363  0.103470418  0.097995713 -0.109962482 -0.0434391550
#> 8   0.0580934811 -0.026922311 -0.070269678  0.008571595  0.0985472643
#> 9  -0.0481703241 -0.021721218 -0.048570950 -0.040374784  0.0394639072
#> 10 -0.0868922684 -0.155241897 -0.065027106 -0.100420010 -0.1432498678
#> 11 -0.0314129804 -0.068407622  0.075099268  0.059296123 -0.0120129801
#> 12 -0.0194365530  0.199126406  0.195289221  0.065373258 -0.0050636465
#> 13 -0.1583638974 -0.087140404 -0.120056000  0.319558599  0.0179102247
#> 14  0.1650854697  0.159672676  0.055215132 -0.082702704 -0.1018436645
#> 15 -0.1034025241 -0.039322761 -0.104433002  0.040952201  0.1384098882
#> 16  0.1159338098 -0.081460781 -0.118672671 -0.061679454  0.0122472785
#> 17 -0.0767173898  0.086178773  0.092241562  0.118723463 -0.0341641961
#> 18  0.0030956335  0.085201951 -0.004339485 -0.071534228  0.0004555609
#> 19 -0.0529301677 -0.040449744 -0.031430600  0.027479604 -0.0043623486
#> 20  0.1142455762  0.060910429  0.109237578 -0.156309705 -0.1010603144
#> 21  0.0342392165 -0.018087377 -0.062274022 -0.125709348 -0.0645424997
#> 22 -0.0832365189  0.129280217 -0.047029627  0.070698597  0.0790089360
#> 23 -0.0763280029 -0.018602467 -0.020474946  0.098455242  0.0638335557
#> 24  0.6151232928 -0.059633604  0.020919749 -0.108788027  0.0250436468
#> 25 -0.0438125573  0.599302246  0.063603356 -0.055743442 -0.0132826350
#> 26  0.0233115525  0.050174113  0.612731489 -0.003928042  0.0041707328
#> 27 -0.1178176185 -0.080594080 -0.015349437  0.624152884  0.1872432353
#> 28  0.0088534069 -0.045293922 -0.014411311  0.180082587  0.6313135327
#> 29 -0.0488534078  0.002833981  0.165707633  0.035562445  0.0424107449
#> 30 -0.0007616213  0.004643984  0.131740115 -0.035110747 -0.0604808514
#> 31  0.0449079634  0.017597299 -0.045882367  0.065973680  0.1175193520
#> 32 -0.0559280740 -0.051393890 -0.001773171 -0.127939165 -0.1198376465
#> 33 -0.1341833577 -0.018493077 -0.034890905 -0.057196559 -0.1065152495
#> 34  0.0563930732 -0.017153883  0.037980441 -0.011352129 -0.0394983758
#> 35 -0.0057919755 -0.168685703 -0.105987659 -0.001841125  0.0042000378
#> 36 -0.0224068069  0.048501175  0.091454655  0.062818177  0.0673002111
#> 37  0.2475622898 -0.019377876 -0.050585926 -0.015027481 -0.0101244034
#> 38  0.0614608770  0.037613086  0.091403771  0.088161515  0.0503517912
#> 39  0.0045891119  0.118853145  0.095981542 -0.053237619 -0.1029288633
#> 40  0.0329107799  0.067487446 -0.109814967 -0.077650746  0.0330365139
#> 41 -0.0573480717 -0.023246239 -0.022846127 -0.011267737  0.0352899402
#> 42 -0.0688947649 -0.071205983 -0.110370108  0.048490830  0.1488512475
#> 43 -0.0542123962  0.035748857  0.116486288 -0.038164097 -0.0629913039
#> 44 -0.0289240901 -0.007886013  0.063021830 -0.024573063  0.0202632989
#> 45 -0.0605606790  0.036466675  0.130663130 -0.034013227 -0.0584358197
#> 46  0.0264147909  0.091627654 -0.006258584  0.019255250 -0.0111513469
#> 47  0.0657112744 -0.023145260 -0.017398366 -0.072417625 -0.0011283782
#> 48 -0.0762843151 -0.124707533 -0.044691240  0.016294956 -0.0473479205
#> 49 -0.0556384068 -0.065643707 -0.075243963  0.167484708 -0.0361359778
#> 50 -0.1240459698 -0.095841030 -0.034613967 -0.013197734 -0.0986776798
#> 51 -0.1393935163 -0.096129329 -0.046506590  0.002400311 -0.0593431870
#> 52 -0.0382148908 -0.112420657 -0.163037532  0.047174171  0.0545503318
#> 53 -0.0822475276 -0.028750835 -0.090664565  0.073585546  0.1279693794
#> 54  0.0031478761 -0.079162928  0.088729344  0.014437802 -0.0785335476
#> 55  0.0475625618 -0.101557798 -0.101222491 -0.036295404 -0.0302968646
#> 56 -0.0274529986 -0.065817853 -0.016540863 -0.108724861 -0.0436124840
#> 57  0.0252623192 -0.015367828 -0.036666540 -0.145723934 -0.0900879271
#> 58 -0.0037620890 -0.011175908  0.043499677 -0.061048123 -0.1756317293
#> 59  0.0852820487  0.061395823  0.148481575 -0.067176037 -0.0282521990
#> 60 -0.0328498575  0.188766500  0.035874252  0.028652555 -0.0350039009
#> 61  0.0599861376 -0.035179930  0.038293637  0.053240288  0.0608044528
#> 62 -0.1055927800 -0.058742003 -0.061323312  0.237381213  0.0080575800
#> 63  0.0393183818 -0.104249538 -0.163042279 -0.014461652  0.1166911247
#> 64 -0.0330403233 -0.088619331 -0.093095705  0.054233204  0.0599219111
#> 65 -0.0226221679 -0.122488491 -0.037680650  0.010110250  0.0161140094
#> 66  0.0261816043  0.020920633  0.152983716 -0.053284107  0.0234028975
#> 67  0.0257050691  0.057596033  0.012060281 -0.053704518  0.0634728843
#> 68  0.0960189327  0.053440216 -0.093923496 -0.128340751 -0.0373579025
#> 69  0.0368902461 -0.048312473 -0.046568602 -0.061306641 -0.0235743615
#> 70 -0.0012943893  0.170625953 -0.015060570 -0.074465763 -0.0345154551
#> 71 -0.0969629574 -0.023258215 -0.024921725 -0.005366610 -0.0649232198
#> 72  0.0589183724  0.019444164  0.003140285 -0.010474463  0.1185915335
#> 73 -0.0952862552 -0.106918931  0.014856419  0.205367547 -0.0455719726
#> 74 -0.0058050578 -0.022117052  0.036394662 -0.046970489 -0.0726909710
#> 75 -0.0044059927 -0.055449161 -0.167567166 -0.008833702 -0.0025964764
#> 76  0.0820622437 -0.044353911 -0.052863871  0.034246403  0.0001369943
#> 77 -0.0771536677  0.058927667  0.020292515  0.010885398 -0.0789164408
#> 78  0.0702689607  0.058071080 -0.082911174 -0.053249358 -0.0154298394
#> 79  0.0578700248  0.007578726  0.048910454 -0.075899204 -0.0970114187
#> 80 -0.0331542574  0.228812705 -0.060179455 -0.088304920 -0.0802810083
#>           [,26]        [,27]        [,28]        [,29]         [,30]
#> 1  -0.071711255  0.007402017 -0.022946602 -0.093052483  0.0338177735
#> 2   0.019194822  0.030244495  0.111751538 -0.099023296 -0.0973955483
#> 3   0.008381323  0.137677510 -0.015589505 -0.064881056 -0.0299949206
#> 4  -0.073938365 -0.097065661 -0.030857204 -0.029948660 -0.0341739121
#> 5  -0.108689572  0.049135456 -0.133147562 -0.089745595  0.1099604396
#> 6   0.061777294 -0.074113368 -0.009702613 -0.064453091  0.0730620742
#> 7  -0.064288473 -0.058033622 -0.124299426 -0.088366954 -0.1049721141
#> 8  -0.154564770 -0.068321655 -0.153863191  0.013036786  0.0647021315
#> 9   0.110176108 -0.015868037  0.134112100 -0.043440071 -0.0770836760
#> 10 -0.083175789 -0.071042412  0.021375033 -0.170592886 -0.0275280380
#> 11 -0.086913237 -0.109434446 -0.155444062 -0.072208771  0.0016822516
#> 12  0.047886821 -0.001435694 -0.079237273  0.049174812 -0.0252415886
#> 13 -0.044869243 -0.028628895  0.067277332 -0.019446191  0.0641417633
#> 14  0.018660559  0.010768919 -0.032243460  0.106841256 -0.0468180368
#> 15  0.012452022  0.021574048  0.049310861 -0.046777953 -0.0160800355
#> 16 -0.032494053 -0.017478096 -0.049591639 -0.081201064  0.0840971735
#> 17  0.208881550 -0.045337148  0.048905183  0.108036713 -0.0600232481
#> 18  0.072028544 -0.047681129 -0.026745552 -0.005255342 -0.0326485114
#> 19  0.054447568 -0.044651295  0.039141591  0.139647317 -0.0564743220
#> 20  0.017853963 -0.099901800 -0.015578449  0.052287247 -0.0546479698
#> 21 -0.041718841  0.023064038  0.046253622 -0.167303648 -0.0473969573
#> 22 -0.050911046  0.136470367 -0.036756773 -0.093608070 -0.0581527312
#> 23  0.016883629  0.053253513  0.055482309 -0.022103592 -0.0063045999
#> 24 -0.048509114  0.017872265 -0.145822564  0.038825880  0.0429003167
#> 25  0.018999322  0.006382648 -0.014311236 -0.018900030 -0.1041723636
#> 26  0.168443731 -0.070526262 -0.044138307  0.022805051 -0.0549035629
#> 27  0.026877148  0.029908390 -0.077865356 -0.037948914  0.0378215756
#> 28  0.026564799  0.074293414 -0.134344695 -0.073255809  0.0367020901
#> 29  0.615467587  0.002629413  0.144155102 -0.016128224 -0.0794678549
#> 30  0.048724954 -0.058937481 -0.109941970 -0.059659971 -0.1060017293
#> 31  0.030009405  0.588087595 -0.016121880 -0.041629895  0.0228412613
#> 32 -0.106508539 -0.045810996 -0.019668291 -0.122420645 -0.0717374118
#> 33  0.156138602 -0.031518372  0.603484087 -0.008207352 -0.0128022949
#> 34  0.001783263 -0.051098399 -0.002279365  0.597556099  0.0445737197
#> 35 -0.127815853 -0.052886729 -0.073133793 -0.021685766  0.6638155850
#> 36  0.004799342  0.084610923 -0.001903809  0.201544797  0.0183930891
#> 37 -0.004210794  0.043604559 -0.119427964 -0.061255167 -0.0400827637
#> 38  0.186374580  0.024495789  0.014488393  0.004497822 -0.0079848986
#> 39  0.198563107 -0.016454341  0.048920738 -0.067027483 -0.0967170671
#> 40 -0.024006305  0.080868637  0.077726405 -0.096967722 -0.0007171766
#> 41  0.056201907 -0.013837127  0.021158462 -0.112612181 -0.1025413029
#> 42 -0.143947073 -0.048181832 -0.118600224 -0.075531852  0.0871015863
#> 43  0.019445008  0.001296124  0.074474723 -0.070722816 -0.0362849612
#> 44  0.134148356  0.110447907  0.143746539 -0.151128310  0.0069248611
#> 45  0.188057062 -0.112655393  0.029784252  0.077911365 -0.1279307836
#> 46 -0.132338204 -0.066774323 -0.135281249 -0.088705085  0.0647861040
#> 47 -0.028657743 -0.036785580 -0.048590853 -0.062978274 -0.0111687680
#> 48 -0.073102566 -0.073492954 -0.086018290 -0.100528482 -0.0842064842
#> 49 -0.051506003  0.025149309 -0.057061317 -0.107925311  0.1329873597
#> 50 -0.113000317 -0.114217236 -0.018387224  0.077073917 -0.0018580550
#> 51 -0.024987406 -0.105862043  0.135104381  0.022275246 -0.0015948319
#> 52 -0.057845722  0.113535759  0.058788445 -0.105916450  0.0337139450
#> 53  0.129638595  0.063905175  0.138494276 -0.012000558  0.0088458786
#> 54  0.047980381 -0.011171412  0.005477133 -0.029544615  0.0143718934
#> 55 -0.001323750  0.078772942  0.031632970 -0.002076568  0.0059284469
#> 56 -0.028592586 -0.076977388  0.095428549 -0.058629388  0.0734261527
#> 57  0.024541990 -0.061657283  0.174485557  0.129312556  0.0191918831
#> 58  0.078253046 -0.054431820  0.113872237  0.089051630 -0.0233292750
#> 59 -0.068346704 -0.054781490 -0.151415768 -0.089590741 -0.0495427451
#> 60 -0.010766381 -0.013428048 -0.025676257  0.078842897  0.0024565162
#> 61 -0.031986373 -0.090223285 -0.113542173  0.116601819  0.0042790490
#> 62 -0.058707335  0.078011215  0.068289298  0.042642581  0.0138883694
#> 63 -0.112203023  0.067267498 -0.125914328 -0.054822681  0.1144443386
#> 64 -0.064360506  0.114251190 -0.024731549 -0.042547820  0.0453203730
#> 65 -0.001885879 -0.016217666  0.003912232  0.073322419 -0.0016703839
#> 66 -0.018911758  0.011874480  0.013739335  0.106755611 -0.0381581480
#> 67 -0.052040603 -0.096653277 -0.100870203  0.015357839 -0.0801923750
#> 68 -0.093805129 -0.036678113 -0.076697662  0.010894398 -0.0182593047
#> 69 -0.075287192  0.019603546 -0.064888618  0.073345392 -0.0141131734
#> 70 -0.051752431 -0.002897568 -0.013085097  0.099336571 -0.0429242035
#> 71 -0.098279242  0.063655767 -0.030994890 -0.140519665 -0.0462216305
#> 72  0.085569049 -0.054248356 -0.067515346  0.207004743 -0.0149584058
#> 73 -0.024706094  0.011497178  0.069338666  0.060910567  0.0507507772
#> 74 -0.068495013 -0.059240768  0.018483827  0.040709910 -0.0636251545
#> 75 -0.121014982  0.042573418 -0.007145491  0.009058137  0.0202681706
#> 76 -0.139061411 -0.011273657 -0.166694183 -0.038354448  0.1619217124
#> 77 -0.056892452  0.003637533  0.121556589  0.158889389 -0.0151114185
#> 78 -0.019726679  0.050239324  0.068162462  0.163232591  0.0079796760
#> 79  0.007992145 -0.074634521  0.069017495  0.263004017  0.0395996764
#> 80  0.044658223  0.114484615  0.160741543 -0.029156431 -0.0834832764
#>           [,31]         [,32]        [,33]         [,34]        [,35]
#> 1  -0.040759904 -0.0401415831 -0.038354522  0.0186896573  0.072972774
#> 2  -0.072076202 -0.1046427160 -0.033532968 -0.0225906989 -0.118804274
#> 3   0.031223456  0.0465459023 -0.081103791  0.1033743674  0.045051644
#> 4  -0.055565083 -0.0422722921 -0.121533079 -0.0363575791 -0.012429352
#> 5  -0.008618876  0.1344858025 -0.063836504  0.0760817756  0.102859637
#> 6  -0.086496082 -0.0007776495  0.140073612 -0.0118966647 -0.052623172
#> 7  -0.076812663 -0.0035501005  0.070059164 -0.0521405274 -0.021887068
#> 8  -0.003826321  0.0010030210 -0.165720780 -0.0059129778  0.197517006
#> 9  -0.074339661 -0.0049818903  0.040498008  0.0863383175 -0.023959103
#> 10 -0.033767058 -0.0973777227 -0.054339122 -0.1218923956 -0.029868433
#> 11 -0.065734292  0.0014400711 -0.029215026 -0.1332533118  0.054920960
#> 12  0.078378673  0.0055107055  0.065159215 -0.0228706616 -0.060082615
#> 13 -0.030986218 -0.0998552647 -0.112271797 -0.0658180665  0.072820466
#> 14 -0.020720057  0.0838161127  0.120004728  0.0643127398 -0.138805158
#> 15 -0.015923721 -0.0632306734 -0.122526785  0.0173902339  0.157186234
#> 16 -0.114711020  0.0392125192  0.023822329  0.1416489870  0.019982757
#> 17  0.024708343 -0.0369549835  0.114952253 -0.0817907067 -0.098629389
#> 18 -0.036212006  0.0072383160  0.097104261 -0.0258169328  0.044675816
#> 19  0.066980917  0.0566285895 -0.110394146 -0.0387684704 -0.013717173
#> 20 -0.092751767  0.0758972563  0.080581503 -0.0119030202 -0.107548736
#> 21 -0.118146195 -0.0331254201  0.110421936  0.0330155205 -0.043852468
#> 22  0.002861856 -0.0204078761  0.002000835  0.1628931728 -0.025250119
#> 23  0.116678824 -0.0996709604 -0.007320254 -0.0107702959  0.098919129
#> 24 -0.063107508  0.2426285323 -0.001659237  0.0199204832 -0.059457168
#> 25  0.023621521 -0.0084905862  0.128425843  0.0703181959 -0.045947339
#> 26  0.053145757 -0.0531278792  0.092124997 -0.1204134602 -0.098540707
#> 27  0.013087884 -0.0289908300 -0.068515559 -0.0996706341  0.048898836
#> 28  0.010409270 -0.0312484008 -0.125367452  0.0038559773  0.142098605
#> 29 -0.036245653 -0.0094888455  0.191970464 -0.0373408962 -0.134853770
#> 30 -0.033626248 -0.0077152967  0.213242746 -0.0986109346 -0.050503858
#> 31  0.070945920  0.0657064997  0.004333009  0.0949140384 -0.011708537
#> 32 -0.009999057 -0.1434034399 -0.026557294 -0.0133114828 -0.051512894
#> 33 -0.030965304 -0.1127225153  0.054311595  0.0763753144 -0.097523421
#> 34  0.178411290 -0.0486217309 -0.055708639 -0.0923908255 -0.048527061
#> 35 -0.070999904 -0.0937088135 -0.151657708 -0.0623997655  0.047846891
#> 36  0.574422592 -0.0691564650 -0.049453410 -0.0558031929  0.012740410
#> 37 -0.104923409  0.6101895353  0.001745325  0.0901962715 -0.056027026
#> 38 -0.073119701  0.1284726762  0.111593713 -0.0073670285 -0.059143450
#> 39 -0.083905762  0.0030599168  0.608874944 -0.0110889072 -0.113301581
#> 40 -0.083513597  0.0982528107 -0.004346960  0.6021329961  0.008030205
#> 41 -0.108840359 -0.0216714058 -0.009885250  0.0578473789 -0.065440112
#> 42 -0.037397889 -0.0703983813 -0.128987527 -0.0143976894  0.624560890
#> 43 -0.017963427 -0.0259381713  0.003822090  0.0035253603 -0.067671305
#> 44 -0.076399912 -0.0163776617  0.124259353  0.1385913217 -0.115443057
#> 45 -0.077844165 -0.0148835392  0.155363500 -0.0993021778 -0.102276376
#> 46 -0.009686151  0.0916706082  0.007113083  0.0325721630  0.056748366
#> 47 -0.037048019 -0.0014444821  0.080112930 -0.0753734472 -0.036478548
#> 48 -0.127195429 -0.0246203915 -0.063026706 -0.1085153689  0.010325429
#> 49 -0.063655265  0.0384661280  0.089298563  0.0119167451  0.095733976
#> 50  0.164515316 -0.1595114299 -0.056448875 -0.1333529438  0.081721528
#> 51  0.038555957 -0.0875901031 -0.124493996 -0.0875288787  0.015362208
#> 52 -0.083152294 -0.0299762783 -0.075954539  0.0854709640  0.058824835
#> 53 -0.044169187 -0.0173009892  0.023808419  0.1435452674  0.071644804
#> 54 -0.007907200  0.0433485608  0.023037594 -0.0774623355 -0.024493553
#> 55 -0.038156944  0.0621043185  0.012452004  0.0465077320 -0.005629234
#> 56 -0.068521638 -0.0735199875 -0.040617948 -0.0576007643  0.045393949
#> 57  0.031195001 -0.0608642095  0.012827401 -0.0433980861 -0.011800629
#> 58 -0.045265865 -0.0129060943  0.214034440 -0.0748402821 -0.104905175
#> 59 -0.055327828  0.0962992663  0.027300363 -0.0772543778 -0.046876460
#> 60  0.095056006 -0.0333173193  0.009615048 -0.0606493457  0.045091680
#> 61  0.045654371  0.0572382780 -0.114940075 -0.1077554728  0.035845093
#> 62  0.143160770 -0.0685436261 -0.080199794 -0.0320997839  0.103492704
#> 63 -0.075993009  0.0269883686 -0.155968707  0.0955100426  0.061299858
#> 64  0.025758567 -0.0644104419 -0.082039271  0.0006346203 -0.044417651
#> 65  0.012772520 -0.0627948714 -0.056465793 -0.0688744312  0.097467669
#> 66  0.299782320 -0.0705701204 -0.074250756 -0.0480518903 -0.023087244
#> 67  0.015186576 -0.0340169567 -0.077466169 -0.0540245865  0.003027561
#> 68 -0.043555968  0.0448771604  0.021819105  0.0206836715  0.015116917
#> 69  0.105655518  0.0688620181 -0.094773083 -0.0416204109  0.025593396
#> 70 -0.047386063  0.0222575609 -0.037446404  0.0610484184  0.040549108
#> 71 -0.013773085  0.0053298625 -0.046896622  0.0715508303 -0.041849587
#> 72  0.068761494  0.0643825300 -0.017476939  0.0107647536 -0.046599424
#> 73  0.039001596 -0.0741287205 -0.075134537 -0.1332577005  0.025792641
#> 74  0.045621896  0.0101085076 -0.087809903 -0.0557060831 -0.091208445
#> 75 -0.070549667  0.0430665351 -0.111364662  0.1074689780  0.057929998
#> 76 -0.021394113  0.1185827130 -0.039535581 -0.0266164057  0.069048430
#> 77  0.121650099 -0.1086219154 -0.102277205 -0.0115139510 -0.042009809
#> 78  0.177378708  0.0318446895 -0.071257218  0.1157494860 -0.103683996
#> 79  0.079722838  0.0056478311 -0.049403049 -0.0587614861 -0.115385093
#> 80 -0.045269112 -0.0440921720  0.221371273  0.1232915542 -0.103332840
#>            [,36]         [,37]         [,38]        [,39]         [,40]
#> 1  -0.0409924567 -0.0010733758 -0.0749515471 -0.069097044 -0.0845789170
#> 2  -0.0455665676  0.0720953986 -0.0403093640 -0.166971475  0.0515416788
#> 3  -0.0341410637  0.0359939588 -0.0440869087 -0.016213386 -0.0329832672
#> 4   0.0104354620 -0.0513458565 -0.0517297225 -0.034839904  0.1557920381
#> 5  -0.0030216157 -0.0673061088 -0.1364683611  0.221682165 -0.0034014531
#> 6  -0.0432502123  0.0874891756  0.0226216590  0.160283127  0.0712789505
#> 7  -0.0055096791 -0.0504205219  0.0401302022 -0.018666611 -0.0297962303
#> 8  -0.0983230323 -0.1168700172 -0.0462980996  0.123748555  0.0377704737
#> 9  -0.1170069986  0.1006203612  0.1963727397 -0.155479246  0.0513681703
#> 10  0.0060941780  0.0065287161 -0.1485891486 -0.084156555 -0.0089285863
#> 11 -0.0496253242 -0.1302476843  0.0195840149  0.049218618 -0.0027630583
#> 12  0.1404158927 -0.0343507540  0.0307204708  0.112244178 -0.0639204040
#> 13 -0.0172124605 -0.0738772449 -0.0420979741 -0.063249142  0.0063845614
#> 14  0.0267556892  0.0008007952  0.0400232083  0.049473684 -0.1094176423
#> 15 -0.0320499555 -0.0554022875  0.0108711520 -0.152884237 -0.0031145698
#> 16 -0.0414915948 -0.0211889336 -0.0967734964  0.064712965 -0.0506119797
#> 17  0.0498116118 -0.0175397455  0.1745429629 -0.049114813 -0.0366600178
#> 18 -0.0176889221  0.0023083681  0.1042568822  0.035733192  0.0276634757
#> 19 -0.0482172641 -0.1096664481  0.0764567786 -0.120937352  0.0008914137
#> 20  0.0356526829 -0.0143216216  0.2499873901 -0.058527270 -0.0530779608
#> 21  0.1187242985  0.0738970058 -0.1045945855  0.008020852 -0.0620382069
#> 22  0.0953878607  0.0667139163 -0.0528315458  0.035327747 -0.0445362303
#> 23 -0.0053742225  0.0480513978 -0.0365906440 -0.024213962 -0.0546240362
#> 24 -0.0677976359 -0.0232335793 -0.0686931291  0.019576065 -0.0544134687
#> 25  0.0379846648  0.0136255451  0.0441552717  0.100609975 -0.0870156396
#> 26  0.1052928522  0.0711041450  0.1249224841 -0.010705506 -0.0204285895
#> 27 -0.0607789277 -0.0279121437 -0.0511752685  0.003386932  0.0291362113
#> 28 -0.0927667834  0.0097635698 -0.0827585097 -0.034180313 -0.0416673140
#> 29  0.0055154739  0.1394945728  0.1795803177 -0.139521224 -0.0515760139
#> 30  0.1243688900 -0.0462153042 -0.0020477531  0.020662939  0.0401826655
#> 31  0.0147465827  0.1431741162 -0.0937521451 -0.046577350 -0.0245864097
#> 32  0.2170229175 -0.0293010535 -0.1714862551 -0.036246902 -0.0511633122
#> 33  0.0725286894  0.1610762563  0.0332910080 -0.130480769 -0.0525082380
#> 34 -0.0667408622 -0.1278706055  0.0873461089 -0.077976617 -0.0610904425
#> 35 -0.0985624930 -0.0360769204 -0.1847555259  0.009255086 -0.1110279300
#> 36  0.0091520344 -0.0300087004 -0.0452759141  0.024175824 -0.0646238813
#> 37 -0.0345896534 -0.0057533934 -0.0180822317  0.089765640  0.0021842123
#> 38  0.0829002607  0.0517592088  0.0652502064  0.008833377 -0.0037967522
#> 39 -0.0035148011  0.1361982127  0.1534793990  0.006522706 -0.0349075108
#> 40  0.0029304173  0.1572721292 -0.0944443311  0.038723734 -0.0736542258
#> 41  0.0694091744  0.1311202719  0.0465559941 -0.056106712  0.0893164138
#> 42 -0.0906941425 -0.1191901440 -0.1198464234  0.040472043  0.0227586781
#> 43  0.6015380532 -0.0009636170 -0.0564369295  0.002800970 -0.0479895315
#> 44 -0.0202393675  0.6208138036  0.0145509094 -0.049148396 -0.0054562115
#> 45 -0.0618897191  0.0283738702  0.6069908428 -0.107566431  0.0733847244
#> 46 -0.0039455434 -0.0366191589 -0.1088601548  0.608284567 -0.0025915158
#> 47 -0.0484622651  0.0382458752  0.0815417962 -0.001195695  0.0465825768
#> 48 -0.0834456175 -0.0216365471  0.0433814280 -0.031301088  0.6369941392
#> 49 -0.0847962298  0.0043446747 -0.0827799068  0.197552151 -0.0008516097
#> 50 -0.0960848985 -0.1194761519 -0.0261302379 -0.022656169 -0.0096450259
#> 51  0.0526656833 -0.0910960694 -0.0157162709 -0.085202520  0.0836711537
#> 52 -0.1322322534  0.0873816889 -0.0917903112 -0.082235740  0.0528779380
#> 53 -0.1206208916  0.1520972038  0.0777147506 -0.123819727  0.0548466216
#> 54  0.1305827608  0.0377177015 -0.0260386506  0.050558692  0.0738781354
#> 55 -0.0906767021  0.0651924983 -0.0175985464  0.031885172  0.0314995004
#> 56  0.0669004445 -0.0344921189 -0.0542424324 -0.042167358 -0.0616774194
#> 57  0.0885811519 -0.0825698104 -0.0393048447 -0.091556335 -0.1035724833
#> 58  0.0037398981  0.0130706756  0.0892542517 -0.023612711  0.0274734657
#> 59  0.1139523775 -0.0009884017 -0.0020347230  0.142515899 -0.0262223671
#> 60  0.0619808294 -0.1191232373 -0.0572270339  0.080582697 -0.0990110702
#> 61 -0.0672007064 -0.1319826354 -0.0080257596 -0.030410246 -0.0514569776
#> 62  0.0057256354 -0.0375118771 -0.0691739570 -0.065858921  0.0207707593
#> 63 -0.1685373221 -0.0706620637 -0.1099760885 -0.043401460 -0.0292635797
#> 64 -0.0805056775  0.0823892621 -0.0677716831 -0.021581659  0.0870554911
#> 65 -0.1411537964 -0.0388042779  0.0705870346 -0.086327143  0.1404374618
#> 66 -0.0064932244 -0.0279123205  0.0005684476 -0.025425793 -0.0835099717
#> 67  0.0663994418 -0.1242820118 -0.0008520138  0.004815783 -0.0566881168
#> 68 -0.0330661472 -0.1213067417  0.0354697617 -0.035853128 -0.0516681133
#> 69 -0.0157781577 -0.1111249069 -0.0252081778 -0.034477894 -0.0155153831
#> 70 -0.0707568205 -0.0213249443  0.0520714096 -0.001996658  0.0653189125
#> 71  0.1201062256  0.0283186238 -0.1286233349  0.095519994  0.0376136402
#> 72 -0.0967752847 -0.0654755530  0.1406663939 -0.012589305 -0.0866586536
#> 73 -0.0377382800 -0.0537067705  0.0101260998 -0.077346516  0.0608201384
#> 74  0.0949995718 -0.0434105905  0.0020918462  0.020303309  0.1021873688
#> 75 -0.0953609286 -0.0641946414 -0.0349876926 -0.002870600  0.0909470639
#> 76 -0.0505745345 -0.1070000600 -0.1166385661  0.331462775 -0.0122881693
#> 77  0.0404686883 -0.0520061795 -0.0372143054 -0.085609175  0.0043168268
#> 78 -0.0001900751 -0.0231692125 -0.0671447256  0.015959572 -0.0853199197
#> 79  0.0444669813 -0.0676826832  0.0739986789 -0.049126388 -0.0638690785
#> 80  0.0042037360  0.1906620274  0.0522533291 -0.025187537 -0.0107773757
#>           [,41]         [,42]         [,43]         [,44]        [,45]
#> 1   0.024937457  0.0172031077 -0.0545446643  0.0871777236 -0.123636846
#> 2  -0.009662125  0.0400795200  0.1482908050  0.0101589902  0.070625123
#> 3  -0.042110711 -0.0352463746  0.1184387449  0.0053039347  0.007320144
#> 4   0.066666837  0.1728856522 -0.0601844537 -0.0796936647  0.075852845
#> 5  -0.015734503 -0.0325564707  0.0303718375 -0.0812338214  0.029206381
#> 6  -0.110509663 -0.0993756495 -0.0494415187 -0.0472670429  0.020336990
#> 7   0.028126525 -0.0573150540 -0.1558273409 -0.0858697144 -0.073084550
#> 8  -0.010335633 -0.0620696221  0.0223200484 -0.0821919717 -0.006621864
#> 9  -0.026337389  0.0608095033  0.1215380444  0.3247037080 -0.122211387
#> 10  0.059166374  0.0288909066 -0.0030077640 -0.0825996223  0.188189836
#> 11  0.009480649 -0.0695653750 -0.1380668097 -0.1204027703 -0.089903889
#> 12 -0.003648093 -0.0322638910 -0.1736534608 -0.0981151481 -0.031531920
#> 13  0.021074888  0.0812328123  0.1190860731  0.0449310770 -0.072160118
#> 14 -0.104011709 -0.1386016270 -0.0665889351 -0.1101301440  0.014872347
#> 15  0.036930665  0.1593746211  0.0635319010  0.2162393593 -0.116545330
#> 16 -0.103644528 -0.1022441951  0.1290161526 -0.0202005368 -0.032150698
#> 17 -0.032439972 -0.0086344830 -0.0420500312 -0.0243758504 -0.028554185
#> 18  0.003739389  0.0267606675 -0.0467028464  0.0697839832 -0.006928655
#> 19  0.003951634  0.1681130899 -0.0511487211  0.0815419411 -0.072112441
#> 20 -0.088985342 -0.0716815189 -0.1229771634 -0.0675137352 -0.064129393
#> 21 -0.023356450 -0.0593720834  0.0320299404 -0.0644669251  0.088373170
#> 22 -0.119224616 -0.1212729096  0.0621494120 -0.0004036578 -0.086092600
#> 23  0.084647658 -0.0433410265  0.1347660588  0.0368840566  0.059080148
#> 24 -0.129416356 -0.1609682679 -0.0373497921 -0.1059825535 -0.023888099
#> 25 -0.085390369 -0.1018830335 -0.0957345112 -0.0366648143 -0.090377855
#> 26 -0.037592549 -0.0656895372 -0.1597806291 -0.1120077867  0.064085173
#> 27 -0.027597712 -0.0282040319  0.0390096778  0.0408209291 -0.021627764
#> 28 -0.120238306 -0.0971081785  0.0392251906  0.0880441136 -0.121759762
#> 29 -0.118714997 -0.0469064519 -0.0573249180  0.1055592746  0.020600112
#> 30 -0.021214802 -0.0665919515 -0.1373089884 -0.1183338274  0.082090605
#> 31 -0.092551924 -0.1004010962  0.1414365555  0.0672058469 -0.011171688
#> 32 -0.028621963 -0.0451021351 -0.0816167571 -0.1556403769  0.032453409
#> 33 -0.012118405  0.1251688352  0.0712927493  0.1263984559 -0.009919636
#> 34  0.089270724  0.0182676874 -0.0874841577 -0.0181683909 -0.039013396
#> 35 -0.055920734 -0.0718618757 -0.0141132485 -0.0635814396 -0.061356373
#> 36  0.199845631  0.0576819063 -0.0415864945 -0.0272035122  0.005757527
#> 37 -0.159948059 -0.1042310972 -0.0241774221 -0.0361022577  0.021246344
#> 38 -0.124485412 -0.0784262443 -0.1036815395  0.0553822973 -0.039411949
#> 39 -0.055570912 -0.1398203983 -0.0688410912  0.0063217423  0.002249968
#> 40 -0.125733034 -0.0961133336  0.0993263594  0.1328005382 -0.091508013
#> 41 -0.099016450  0.0427446335 -0.0787384133  0.0566196564  0.048290416
#> 42  0.066913545 -0.0156501411  0.0502523366  0.0384721806 -0.060967125
#> 43 -0.087870045  0.0446761714 -0.1177819151 -0.1307706779  0.117132026
#> 44 -0.130537049 -0.1183613319  0.0825562768  0.1226716670  0.004991216
#> 45 -0.023368174 -0.0291585725 -0.0827927624  0.0621121747 -0.044942175
#> 46 -0.021187829 -0.0999385459 -0.0745319156 -0.1407160270  0.030361443
#> 47  0.047847155 -0.0398927979  0.0397809062 -0.0027727386  0.009473551
#> 48 -0.036886259  0.0402255558  0.0318721904  0.0092407493  0.024971314
#> 49  0.025225217 -0.0790409186  0.0671053790  0.0264044646 -0.012103011
#> 50  0.609752906  0.1727273393 -0.0734172343 -0.0296543162 -0.008463742
#> 51  0.188931705  0.5935485412 -0.0836306681  0.0149255746  0.020484825
#> 52 -0.079652719 -0.1060705184  0.6159883915  0.1058363914 -0.026054688
#> 53 -0.011289677  0.0170858489  0.1304365160  0.5913882669 -0.105925344
#> 54  0.013201846  0.0259460478  0.0018463851 -0.1026243952  0.588087318
#> 55  0.061931171 -0.0254779674  0.1603514859  0.0583948557  0.189600367
#> 56  0.066948778  0.1641380009 -0.0862213905 -0.0116880125 -0.026185042
#> 57  0.050928660  0.1398570445 -0.0712393070 -0.0304794713 -0.045652741
#> 58  0.084563751  0.0003445602 -0.0356899379 -0.0664471795  0.257568278
#> 59 -0.062648434 -0.0618077346 -0.2112389775 -0.1229316015  0.041260408
#> 60  0.091409848  0.0284693003 -0.1333857150 -0.0857314697 -0.008812942
#> 61  0.053084778  0.0023303023 -0.0736996195 -0.0694439878  0.032529204
#> 62  0.186982126  0.1441951902  0.1379899121  0.0839967088  0.052296240
#> 63 -0.085467296 -0.1145631728  0.0882814079  0.0202007553 -0.122540067
#> 64 -0.016147871 -0.0089957841  0.2420795295  0.0168793301 -0.032584052
#> 65  0.186410726  0.1148769765  0.1300736956  0.1015207625  0.084635246
#> 66  0.083325997 -0.0064594335 -0.0332160773 -0.0760312245  0.015097243
#> 67 -0.018009996  0.0195316020 -0.0964772753 -0.0825089277 -0.093840965
#> 68  0.009335709 -0.0310438588 -0.0029229005 -0.0242942446 -0.101736751
#> 69  0.102953845  0.1185040389  0.0117575277 -0.0494767571  0.073358341
#> 70 -0.046222378  0.0033058994 -0.0214368294  0.0337145519 -0.056992156
#> 71  0.017014112  0.0597381485 -0.1043116158 -0.0651567416  0.006681965
#> 72 -0.025108747 -0.0542583265 -0.1165920710  0.0754030665 -0.076955884
#> 73  0.073286227  0.0460568834  0.1407439188 -0.0348260882  0.056529383
#> 74  0.049682419  0.1882503342 -0.0443947460 -0.0946082426  0.085335945
#> 75 -0.052430528  0.0109938107  0.1789336211  0.1034869407 -0.068143419
#> 76  0.003154024 -0.0790921595 -0.0308133141 -0.1268587174 -0.021115560
#> 77  0.070430691  0.0955016555 -0.0004098948 -0.0355631831 -0.023377377
#> 78 -0.016850090  0.0035991598  0.0019715490  0.0019805895 -0.088547481
#> 79 -0.003014085  0.0484964480 -0.0752125097 -0.0994223601  0.006566337
#> 80 -0.070329771 -0.0749526260  0.0374977691  0.0976492700 -0.066952250
#>           [,46]        [,47]         [,48]         [,49]         [,50]
#> 1  -0.061726709  0.150203325  0.1178455791 -0.1252196149  1.165707e-02
#> 2   0.111871156 -0.048708321 -0.0051723023  0.0785479970 -1.362102e-01
#> 3   0.104022460 -0.004586053 -0.0371494032 -0.0989654035 -4.750485e-02
#> 4   0.046898870  0.105510930 -0.0148158526 -0.0119851128 -7.177238e-03
#> 5   0.049172295 -0.044203699 -0.0371198024 -0.0729126241  2.189723e-02
#> 6  -0.076438235 -0.106357013 -0.1035966531  0.0792801459  2.824299e-02
#> 7  -0.095125284  0.046421298 -0.0245386224  0.0103365418  2.188418e-01
#> 8  -0.027914774 -0.099349735 -0.1249200448 -0.0997383475  2.978069e-02
#> 9   0.019664128  0.006924617  0.0157767368 -0.0583653638 -1.188799e-01
#> 10  0.026299352  0.024892869 -0.0398503927  0.0696610595 -1.701946e-02
#> 11 -0.186782414 -0.098041457 -0.1215881586 -0.0696243591  8.394428e-02
#> 12 -0.152087520 -0.001105877 -0.0349806406  0.0060686891  1.614040e-01
#> 13 -0.093154823 -0.085524805 -0.0803910651 -0.0551330354 -1.376411e-01
#> 14  0.021623861 -0.100601195  0.0036842451  0.1496890602  6.477884e-02
#> 15 -0.079426804  0.085952403  0.0118654539 -0.1293669528 -9.795592e-02
#> 16  0.070193849 -0.031466495  0.0142264200 -0.0610765895 -9.761254e-02
#> 17 -0.096868006 -0.049310361  0.0315517007  0.0407308298 -8.009716e-02
#> 18  0.040704972  0.122877852  0.1380832090 -0.0377109910  2.197339e-02
#> 19 -0.032305548 -0.023400383  0.0655925652 -0.0462951625 -8.945340e-02
#> 20 -0.093915533  0.049260696  0.0560962665  0.0572796920  1.340497e-01
#> 21  0.157099628  0.154679277  0.0720082263  0.0200263957  3.462856e-02
#> 22 -0.104234068 -0.135870155 -0.1068919053 -0.1100136499 -2.281503e-02
#> 23  0.114389380  0.044350908 -0.0276690968 -0.0259677429 -1.006892e-01
#> 24  0.016021441 -0.035022749  0.0068190278 -0.0265994612  9.191817e-02
#> 25 -0.117277872 -0.057566556 -0.0179900727 -0.0181922332  8.385299e-02
#> 26 -0.130371808 -0.021718810 -0.0527180277  0.0230541088  1.575095e-01
#> 27 -0.076866116 -0.125324203 -0.1731968170 -0.0929150865 -6.956951e-02
#> 28 -0.078028225 -0.067372475 -0.1247214583 -0.2146593414 -3.780632e-02
#> 29 -0.033209165 -0.036506631  0.0057544048  0.0550713798 -6.205488e-02
#> 30 -0.065624980 -0.056704982 -0.0162509840  0.0750359737  1.196906e-01
#> 31  0.074267520 -0.057511440 -0.0530648758 -0.0502334944 -2.110967e-02
#> 32 -0.116290865  0.001220621  0.0507050103  0.0034286323 -9.215433e-03
#> 33  0.011731056  0.099498005  0.1676814715  0.1026740711 -1.331404e-01
#> 34 -0.016050495 -0.048631945  0.1284364581  0.0837814511 -6.538743e-02
#> 35 -0.074304966  0.017164110 -0.0479437005 -0.0948589394 -9.159892e-02
#> 36 -0.028997363 -0.035390687  0.0534524104 -0.0274025365 -7.991008e-03
#> 37  0.035496956 -0.076155981 -0.0743737434 -0.0308097090  1.078691e-01
#> 38 -0.075843286 -0.002374868  0.0042326420 -0.0338402864  8.905189e-02
#> 39 -0.012840767 -0.041939350  0.0006324589  0.1974454169  4.018483e-02
#> 40  0.027956908 -0.052180218 -0.0488510807 -0.0846873576 -5.762796e-02
#> 41  0.020797830 -0.004991151 -0.0714698684 -0.0352223080  9.829745e-02
#> 42 -0.046607952  0.028386601 -0.0396815175 -0.1371801449 -4.967794e-02
#> 43 -0.108632583  0.072915933  0.0837231003 -0.0055122345  1.341737e-01
#> 44  0.027960867 -0.047752380 -0.1067036126 -0.0154572074 -4.279349e-05
#> 45 -0.041007217 -0.053679733 -0.0496156860  0.0745493295  1.273385e-02
#> 46  0.007182778 -0.042898383 -0.1031609004 -0.0396113578  1.559907e-01
#> 47  0.057079097  0.021342776 -0.0079114132 -0.0134300225  2.240391e-02
#> 48 -0.021912466 -0.091118017 -0.1438866210 -0.0172347529 -4.145709e-02
#> 49  0.046372794 -0.042177837 -0.1004259408 -0.0010867104 -4.660930e-02
#> 50  0.035760437  0.064749413  0.0378557551  0.0670967657 -5.064193e-02
#> 51 -0.035444336  0.178143002  0.1429885047 -0.0009180604 -3.359686e-02
#> 52  0.127945267 -0.094656240 -0.0905476970 -0.0593924088 -2.054680e-01
#> 53  0.050588761  0.004477263 -0.0251877367 -0.0655495257 -9.256046e-02
#> 54  0.185095221 -0.006718818 -0.0370600572  0.2617668804  7.493250e-02
#> 55  0.583582172  0.020778128 -0.0103234848  0.1290463903 -5.815461e-02
#> 56 -0.003193242  0.607553542  0.2394845741 -0.0485918889  3.047484e-02
#> 57 -0.023421314  0.250358115  0.5966800015  0.0505575626 -5.938670e-02
#> 58  0.120342642 -0.033324267  0.0549516434  0.5922859206  7.652339e-03
#> 59 -0.096331846  0.016268972 -0.0844661104 -0.0218211520  6.217594e-01
#> 60 -0.041919551  0.033493301  0.0888491249  0.0869770760  6.391089e-02
#> 61 -0.033653561 -0.024592781 -0.0190118650 -0.0135210020  6.894634e-03
#> 62  0.022214943  0.034943574  0.0038635063  0.0067569110 -1.057241e-01
#> 63  0.005499914 -0.070303811 -0.1529634299 -0.1253208941 -1.122551e-01
#> 64  0.069453060 -0.068995910 -0.0634216517 -0.0954187713 -1.264702e-01
#> 65  0.210556312  0.027353227 -0.0019026970  0.0413827515 -1.093398e-01
#> 66 -0.019579758  0.002901366  0.0092581618 -0.0256617314 -7.592916e-03
#> 67 -0.089314222  0.076357001  0.0842482117 -0.1278831454  1.715103e-02
#> 68 -0.024494649  0.036086024  0.0465287047 -0.0320349430 -1.293621e-02
#> 69  0.080706039  0.013173266  0.0662790535  0.0278268342  3.002996e-03
#> 70 -0.046334713 -0.021983546  0.0236791976  0.0228804278  4.918556e-03
#> 71 -0.058545771 -0.016138447 -0.1079186281 -0.0510608626  1.280795e-01
#> 72  0.019703100 -0.107414317 -0.0406131359 -0.0398485623  5.108621e-02
#> 73 -0.009923320 -0.028849592 -0.0561953506  0.0618046370 -1.217361e-01
#> 74  0.024073656  0.027049864  0.0352488583  0.0391840731  2.729027e-02
#> 75  0.069074797 -0.069856340 -0.0307301316 -0.0308084714 -7.425399e-02
#> 76 -0.004324487 -0.055246059 -0.0827923376 -0.0503268271  4.660190e-02
#> 77 -0.056137339 -0.021215809  0.0255057976  0.0670957788 -8.966136e-02
#> 78  0.025647943 -0.023990458  0.1133044134 -0.0525659202 -6.348987e-02
#> 79 -0.063966405  0.036966067  0.1394476836  0.1455270412 -1.234476e-02
#> 80  0.033378891  0.006575999  0.0574439946  0.0551824756 -2.667289e-02
#>            [,51]        [,52]        [,53]         [,54]         [,55]
#> 1  -0.0995850104 -0.138548199 -0.055165035 -0.0674889912  0.0389928074
#> 2  -0.1427760892 -0.082251972  0.032393231 -0.0808998597  0.1269270143
#> 3  -0.0284849281  0.036751449 -0.003251287  0.1166327947  0.0956060344
#> 4  -0.0351821703  0.022193668  0.023744699  0.0268934135 -0.0125199321
#> 5  -0.0258160218 -0.038886439 -0.034724228  0.0615611276  0.1478101991
#> 6   0.0533939981 -0.071428864 -0.110893838 -0.0501067378 -0.0333561254
#> 7   0.0672317977  0.077207050 -0.115858783 -0.0037445724 -0.1513059414
#> 8  -0.0549525517  0.081451221 -0.072511752  0.1939718700 -0.0221339095
#> 9  -0.1186561220 -0.049012076  0.021820587  0.0308552502  0.0600435414
#> 10 -0.0951629742 -0.082923433  0.021874543 -0.1469259342 -0.0543997709
#> 11 -0.0249120545  0.021207838 -0.101312033  0.0014265469 -0.1465734177
#> 12  0.2121616196  0.035690522 -0.003563543 -0.0367897876 -0.0935847105
#> 13 -0.0063822387 -0.039206131  0.216768608 -0.0172203603  0.0699069136
#> 14  0.1093577330  0.008017615 -0.086148839 -0.0568743679 -0.0195794247
#> 15 -0.0296813414 -0.031219177  0.115122517  0.0880784926 -0.0214295429
#> 16 -0.1401704064 -0.145500102 -0.109224441  0.0317425684  0.1221819724
#> 17 -0.0006822063  0.021043243  0.019250746 -0.1220202735  0.0137718623
#> 18 -0.0357779027 -0.086830450 -0.070879471 -0.1013379852  0.0448637451
#> 19  0.0838481627  0.187854045  0.080813401  0.0262573403 -0.0713583149
#> 20 -0.0204062095  0.045297432 -0.150836896 -0.0322999949 -0.1157479890
#> 21 -0.0484216304 -0.113064027 -0.063953900 -0.0922449264  0.0119282840
#> 22 -0.0680324780 -0.131598774  0.018688899 -0.0188967548  0.1344074569
#> 23  0.0640323255  0.091614879  0.183808611  0.0073640910  0.0208150212
#> 24 -0.0620813545  0.048802188 -0.150144000  0.0663225623 -0.0464601910
#> 25  0.1753560501 -0.030542832 -0.087472176 -0.0614243106 -0.0862181515
#> 26  0.0090345585  0.029501492 -0.103482727 -0.1336462943 -0.1041237689
#> 27 -0.0096085333  0.033026747  0.183800402  0.0035129375  0.0317837452
#> 28 -0.0804256378  0.033430263 -0.052683880  0.1275050654  0.0303118035
#> 29 -0.0403421721 -0.043514617 -0.103602849 -0.0855431362 -0.0781246675
#> 30  0.0433464070 -0.004891058 -0.102069877 -0.1592469534 -0.1058183394
#> 31 -0.0156238467 -0.074371537  0.060495693  0.1213073770  0.1278670205
#> 32 -0.0029322510 -0.106041947 -0.025098705 -0.1274719854 -0.1007109436
#> 33 -0.0432685481 -0.113086916  0.035377284 -0.0872709417 -0.0265122110
#> 34  0.0671785931  0.122985063  0.015658554 -0.0102513072 -0.0384004941
#> 35 -0.0754672730 -0.055597193 -0.079355143  0.0927562270 -0.0167917869
#> 36  0.1065252103  0.075171123  0.139310252 -0.0082881273  0.0530394007
#> 37 -0.0576150588  0.050988086 -0.108161088  0.0589263067 -0.0728965520
#> 38  0.0427073598  0.007114318 -0.085563192 -0.0797023961 -0.1168114724
#> 39 -0.0133681000 -0.119875676 -0.118502665 -0.1227161773 -0.0892107897
#> 40 -0.0768905460 -0.105949126 -0.063660707  0.1355045199  0.0002050494
#> 41 -0.0575107624 -0.031713803 -0.041429195 -0.0272251180 -0.0339937113
#> 42  0.0064225851  0.015223546  0.049503887  0.0788664410 -0.0672751157
#> 43  0.0463345720 -0.064799416 -0.025240345 -0.1279479019 -0.0803403055
#> 44 -0.1540452451 -0.148857096 -0.087753608 -0.0493483940  0.0632788836
#> 45 -0.0783260808 -0.011077259 -0.105592727 -0.0748394578 -0.0730591007
#> 46  0.0581899263 -0.034755470 -0.103571415 -0.0095585537 -0.0281628010
#> 47 -0.0831907246 -0.003283101 -0.040732603 -0.0389532206  0.1096968427
#> 48 -0.1501134136 -0.084511774 -0.045651307 -0.0241302455  0.0517647771
#> 49 -0.0259819757 -0.091149677  0.045455705  0.0177221031  0.0546792503
#> 50  0.0675487379  0.047271215  0.147801292 -0.0530927292 -0.0241973519
#> 51  0.0208125549  0.012721104  0.121218722 -0.0659842407 -0.0008409002
#> 52 -0.1634823107 -0.085748668  0.092573594  0.1144204897  0.2277945632
#> 53 -0.0912279407 -0.056892911  0.063180515  0.0709399618  0.0271944884
#> 54 -0.0110084642  0.048381230  0.034780994 -0.0684999116 -0.0189679448
#> 55 -0.0396099279 -0.013296390  0.009204843  0.0640452151  0.0875743126
#> 56  0.0118315547 -0.028206980 -0.002037895 -0.0357298796 -0.0748460266
#> 57  0.0780609193 -0.011752523 -0.022244422 -0.1075159580 -0.0583982280
#> 58  0.0805829512 -0.001867579 -0.014956937 -0.0754793413 -0.0860012668
#> 59  0.0280432742 -0.010925435 -0.156911442 -0.0918869963 -0.1465262037
#> 60  0.5858917958  0.157535550  0.047874144 -0.0160844037 -0.1506143089
#> 61  0.1394880026  0.603939343  0.037281439  0.0360400972 -0.1172302650
#> 62  0.0631938670  0.070648710  0.570572073  0.0087771238  0.1240659399
#> 63 -0.0723200812 -0.002148033 -0.062778277  0.6421274734 -0.0394531959
#> 64 -0.1664259383 -0.114994347  0.092934588  0.0009708523  0.6017034252
#> 65 -0.0961834744  0.056493783  0.090576160  0.0378036709  0.1157831332
#> 66  0.0649319262  0.092305083  0.076109958  0.0074375239 -0.0179954188
#> 67  0.1029479001  0.092754875 -0.014246111 -0.0571551663 -0.0227993188
#> 68 -0.0237328782 -0.003143269 -0.076417125  0.1152972659 -0.0479500174
#> 69 -0.0090816528  0.154165812  0.063858335  0.0505260129  0.0732866586
#> 70  0.0369368186 -0.001616203 -0.060509758  0.0145979238 -0.0690993148
#> 71 -0.0076482113 -0.080963229 -0.025601838 -0.0053789633 -0.0625064543
#> 72  0.0208651756  0.075212893 -0.130765769  0.0592538066 -0.1030657086
#> 73 -0.0049627558  0.042532403  0.247038719 -0.0267736448  0.0798116274
#> 74  0.0226082402  0.038274040  0.045247036 -0.0783859350  0.0483111868
#> 75 -0.0517655262 -0.041824402  0.042213776  0.1654639848  0.1144588827
#> 76  0.0001514984 -0.017096386 -0.085806431  0.0777471267 -0.0023200781
#> 77  0.1798242363  0.088418226  0.179466762 -0.0012399977 -0.0192525540
#> 78  0.0277633300 -0.031410312 -0.011527770  0.0367131741  0.0636999262
#> 79  0.1040043831  0.182765668 -0.003687990 -0.0052112441 -0.0632624902
#> 80 -0.0412850442 -0.171616916 -0.050236547 -0.0465352598  0.0586607585
#>           [,56]         [,57]        [,58]        [,59]         [,60]
#> 1  -0.003545084 -0.0402123736 -0.010386481  0.066461145  0.0450640541
#> 2   0.108905128 -0.0370547127 -0.063845798 -0.086807453  0.0225981121
#> 3   0.064390093  0.1902244195  0.095000170  0.020801822  0.1071012224
#> 4   0.094249421 -0.0110022659  0.041739193 -0.065515621  0.0059561547
#> 5  -0.045303513 -0.0484380035 -0.042726289  0.077169998  0.1547433376
#> 6  -0.085823970 -0.0858742952 -0.110678552 -0.109983267 -0.1614675564
#> 7  -0.057508196 -0.0395570210  0.002932465  0.112112714  0.0611545407
#> 8   0.077266591  0.0364525919  0.000370431  0.025483674  0.0594362577
#> 9   0.147893686  0.0037554281 -0.024878094  0.115873181  0.0236509937
#> 10 -0.008210258  0.0081017667 -0.125485573 -0.087497092  0.0137855214
#> 11 -0.056944173 -0.0571578353 -0.090357055 -0.002212019 -0.0560704319
#> 12 -0.147852496  0.0386974677  0.143510799 -0.053472891 -0.0973963494
#> 13 -0.039883513 -0.0732362494 -0.037791426 -0.074710741 -0.0577239295
#> 14 -0.083398864  0.0491800469  0.061703396  0.009550390  0.0043040427
#> 15  0.051810927 -0.0236145035  0.015989602  0.092571527 -0.0035204905
#> 16  0.002589472 -0.1274569205 -0.058118335  0.108583767 -0.0306344686
#> 17 -0.040639040 -0.0769913366  0.053104166 -0.022452378 -0.0653525877
#> 18  0.099276496 -0.0879747943  0.120499216  0.033800437 -0.0548983656
#> 19  0.012119090  0.0763635532  0.006040998  0.011440684  0.1533472535
#> 20 -0.085756564  0.0423321189  0.049796789  0.146911420  0.0414902769
#> 21 -0.018714502 -0.0758610784 -0.002691256  0.048964916 -0.0406890679
#> 22 -0.115697162 -0.0155003497 -0.008733795 -0.030643728 -0.0562586265
#> 23  0.073807867  0.0947122357  0.061761004 -0.060162026  0.0041154164
#> 24 -0.054314960 -0.0009342194  0.012257901  0.082406460 -0.0022059571
#> 25 -0.138360236  0.0096258560  0.059969913  0.055648791 -0.0715876292
#> 26 -0.066981639  0.1282596962  0.001004917 -0.105144165 -0.0832730016
#> 27 -0.030612133 -0.0894295216 -0.076181278 -0.150982815 -0.1094324360
#> 28 -0.031769023 -0.0199031660  0.033835477 -0.067160615 -0.0788608045
#> 29 -0.033922966 -0.0463718762 -0.065832065 -0.107761896 -0.1147276893
#> 30 -0.098745217 -0.1097847350  0.046944188 -0.043489744 -0.0809884585
#> 31 -0.020874760  0.0117943545 -0.083064746 -0.023254888  0.0075430414
#> 32 -0.144398522 -0.0291352303  0.014418553 -0.096577951 -0.0696340129
#> 33 -0.016141354 -0.0017372827 -0.102678164 -0.078670929 -0.0923456150
#> 34  0.059196820  0.0972069805  0.019477865  0.014849118  0.0518163820
#> 35 -0.082055469 -0.1139662639 -0.142331835 -0.080564070 -0.1019016688
#> 36  0.021780429  0.3133671974  0.042440109 -0.016467740  0.1072600161
#> 37 -0.089553906 -0.0927521865 -0.042530367  0.036198445  0.0346995724
#> 38 -0.081402949 -0.0880570427  0.027648529 -0.106436159 -0.1743614878
#> 39 -0.081910236 -0.0951182303 -0.084664988  0.014454981 -0.1276209373
#> 40 -0.087576927 -0.0621774173 -0.054481458  0.020061496 -0.0677263174
#> 41 -0.019276191 -0.0989521019 -0.020942522 -0.112714355 -0.0895054859
#> 42  0.056337279 -0.0596406653 -0.019857204 -0.007933153 -0.0229404049
#> 43 -0.159261349 -0.0200238084  0.066537514 -0.033093380 -0.0412891213
#> 44 -0.076187581 -0.0607186550 -0.143419690 -0.140609725 -0.1559116209
#> 45  0.047026692 -0.0184149260 -0.006166732  0.029989739 -0.0561719309
#> 46 -0.111181210 -0.0457028903 -0.001792659 -0.042626875 -0.0667353716
#> 47  0.028540100 -0.0038292459  0.037846133  0.122630044  0.0621444185
#> 48  0.086873823 -0.1324966417 -0.092006131 -0.087151432 -0.0764824326
#> 49  0.007181948 -0.1133364150 -0.106747945 -0.030377564 -0.0490729008
#> 50  0.160088320  0.0615805596 -0.026086778  0.001093623  0.0692280284
#> 51  0.104758936 -0.0120005055  0.027659186 -0.023081580  0.1009825873
#> 52  0.097515804 -0.0611969997 -0.110789542 -0.017400472 -0.0282037742
#> 53  0.093562996 -0.0794120222 -0.072221069 -0.014171691 -0.0648379343
#> 54  0.079978428  0.0150173939 -0.080252159 -0.088313249  0.0612981122
#> 55  0.210404640 -0.0151544615 -0.071220270 -0.006566002  0.0731509563
#> 56  0.003230185 -0.0166447070  0.070479584  0.030043302 -0.0183531866
#> 57 -0.015152198  0.0005856294  0.089244335  0.051359523  0.0456261417
#> 58  0.032527331 -0.0299401829 -0.118492941 -0.022810043  0.0115680032
#> 59 -0.147668757 -0.0413448585 -0.002932252 -0.033184805 -0.0427293262
#> 60 -0.098644770  0.0670475995  0.118732229 -0.008113854 -0.0189463590
#> 61  0.035984940  0.0763732093  0.090491656 -0.005571792  0.1262535586
#> 62  0.103434587  0.0935453537  0.016857941 -0.045478378  0.0693133514
#> 63 -0.020893302 -0.0466824803 -0.097606515  0.074680613 -0.0155743709
#> 64  0.097510208 -0.0316913748 -0.022826619 -0.048142622  0.0476103231
#> 65  0.583430500  0.0338249430 -0.034880744  0.003300984  0.1357681232
#> 66  0.029247974  0.5880074692  0.059818444  0.011641757  0.0956985336
#> 67 -0.053126368  0.0461497880  0.601676125  0.047622638  0.0007356999
#> 68 -0.014779336 -0.0018615940  0.047787943  0.601510820  0.1664366754
#> 69  0.143171534  0.1076789131  0.026384735  0.191920406  0.5760270896
#> 70  0.025513447 -0.0584038403 -0.012553046 -0.016177789 -0.0638422950
#> 71 -0.115219180 -0.1030016586 -0.069438530 -0.095067501 -0.0749780820
#> 72 -0.026835628  0.0451312535 -0.026246695  0.054885376  0.0038805748
#> 73  0.128290434  0.1059780960 -0.083604417 -0.076400812  0.0163929990
#> 74 -0.016224126  0.0943814563  0.156173253 -0.014223499  0.0251639666
#> 75  0.069130231 -0.0325817327  0.014799989  0.041520631  0.0728636550
#> 76 -0.094818308 -0.0902735034 -0.049703423  0.093952219 -0.0027044012
#> 77 -0.007853260  0.1479897890  0.012975662 -0.060387081  0.0453543204
#> 78 -0.078396259  0.0962951801  0.105326889  0.012509645  0.0040144324
#> 79 -0.056687439  0.1347522157  0.094553595  0.020391564  0.1065500006
#> 80 -0.076923461 -0.0918083800 -0.050545462  0.017167991 -0.1271708597
#>            [,61]         [,62]        [,63]         [,64]        [,65]
#> 1  -0.0144828995 -0.0718686167 -0.097527678 -0.0146206610 -0.008545931
#> 2  -0.0177722835 -0.1397079488  0.002971810  0.0456604815 -0.146443873
#> 3  -0.0121939656  0.0160251709 -0.021156340  0.0624354854 -0.023715792
#> 4   0.1201183490 -0.0859996328 -0.040324660 -0.0398389473 -0.041558620
#> 5   0.0681554585 -0.0101887670 -0.053984420  0.0640079824  0.335274131
#> 6  -0.0469187525 -0.0098202783  0.014654537 -0.0266425600  0.012145764
#> 7   0.0630679079 -0.0364222692 -0.120073497 -0.0943072240 -0.026599778
#> 8  -0.0393337815  0.0684541500 -0.020682234  0.1626983566  0.094951244
#> 9  -0.0950004163  0.0514578462  0.004650674  0.0931418095 -0.112740074
#> 10 -0.0070892977 -0.1754140289  0.025302678 -0.0990194441 -0.088922516
#> 11  0.0063030605 -0.0144140010  0.011299159 -0.0799189235  0.114925279
#> 12  0.1132263597  0.0166201534 -0.054386981 -0.1184680650  0.055775305
#> 13 -0.0516823153 -0.0715532429  0.233991557  0.0736287042 -0.012910308
#> 14 -0.0740699171  0.0663173641 -0.014361271  0.0486860302 -0.034738314
#> 15 -0.0334493922  0.0067398035  0.018431499  0.0195577961 -0.087324867
#> 16 -0.0911178399 -0.0363800144 -0.078630748  0.0547490319  0.133650459
#> 17 -0.0779045962 -0.0155405461  0.043309922 -0.1300498058 -0.025161882
#> 18 -0.0729330981  0.0066059571 -0.093874071 -0.0443318319 -0.009638157
#> 19 -0.0632052587  0.1511229778  0.049529736  0.0509319669 -0.066936115
#> 20 -0.0927388458  0.0723301428 -0.049467111  0.0054137443 -0.064914020
#> 21  0.0442378991 -0.1278949746 -0.087777873 -0.0724446178 -0.034671009
#> 22  0.0136663052 -0.0494619969  0.012334912  0.0766883103 -0.044599628
#> 23 -0.0363731913 -0.0799676547  0.116629841 -0.0641125907 -0.093561609
#> 24 -0.0894146681  0.0542444661 -0.110169994 -0.0286554791  0.080219158
#> 25  0.0001111215  0.0305913048 -0.105981624 -0.0638776006 -0.030375949
#> 26 -0.0149816318  0.0008581825  0.002364483 -0.1894248489 -0.052315152
#> 27 -0.0068479117 -0.0241779611  0.181454216 -0.0421127796  0.023373726
#> 28 -0.0735651704  0.0977273873 -0.076645952 -0.0430362027 -0.017896331
#> 29 -0.0910752470  0.0805508485 -0.039934127 -0.1456087626 -0.141248791
#> 30  0.0734270132 -0.0459356339 -0.100809627 -0.1440594332  0.014889077
#> 31  0.0982397549 -0.0318865636  0.023649137  0.0453596303  0.013918956
#> 32  0.0695740682 -0.1797181177 -0.119790078 -0.1102748564 -0.103832288
#> 33 -0.0118073945 -0.0605500465  0.066094133 -0.0197557715 -0.156898062
#> 34 -0.1154041820  0.2198980302  0.063594021  0.0023758445 -0.022630340
#> 35 -0.0873656334 -0.0683246043 -0.012825254 -0.0526736080  0.111386335
#> 36  0.0344759055  0.1047882884  0.064818558 -0.0540984520  0.017463503
#> 37  0.0178119094  0.0646423813 -0.084078702  0.0237508063  0.121673385
#> 38  0.0079373672  0.0650370043 -0.037712796 -0.0877343503 -0.038895679
#> 39 -0.0330999839 -0.0159024960 -0.083769928 -0.1293657995 -0.035130317
#> 40  0.0920894163  0.0190811441 -0.135151143  0.0962097884 -0.015469194
#> 41  0.0906811044  0.0012985015 -0.120456489 -0.0252150254 -0.143607962
#> 42 -0.0437388952 -0.0607109273  0.001471305  0.0242429144  0.057767748
#> 43  0.1412397546 -0.0878639514 -0.039036779 -0.1060251753 -0.038832380
#> 44  0.0301764023 -0.0758399701 -0.074281020 -0.0941346385 -0.114533656
#> 45 -0.1129425955  0.1441249377  0.003374811 -0.0511047289 -0.110349201
#> 46  0.1099070095 -0.0104244851 -0.085391530 -0.0202813607  0.336458415
#> 47 -0.0494574704  0.0328577268 -0.077923344 -0.0461537990  0.030250107
#> 48  0.0232910831 -0.1132034062  0.024065553  0.0448267313 -0.036002101
#> 49  0.0336777211 -0.0949126884  0.081597892  0.0174443811  0.232981222
#> 50  0.0299327877 -0.0244122671  0.063772874 -0.0713096282  0.006681326
#> 51  0.0888611894 -0.0373574811  0.052747896  0.0083190759 -0.059360493
#> 52 -0.0976284252 -0.1221310759  0.124995081  0.1538190361 -0.033521498
#> 53 -0.0338734263  0.0944641862 -0.025974801  0.1029724804 -0.104966777
#> 54  0.0412662289 -0.0545938154  0.068681618 -0.0653569309  0.004077329
#> 55 -0.0194563609  0.0465703146  0.006734061  0.0763664314  0.025373549
#> 56 -0.0010204071 -0.1045184729 -0.036163581 -0.0865360760 -0.049519393
#> 57 -0.0819270474 -0.0268437508 -0.052635798 -0.0365363266 -0.066192131
#> 58 -0.0206752011 -0.0216850963  0.069758270 -0.0322205855 -0.029332540
#> 59  0.1289916946  0.0397761874 -0.143256006 -0.1051395920  0.038122697
#> 60  0.0291315750  0.0454227664  0.009385002 -0.0467835155  0.027539910
#> 61 -0.0622309896  0.0817229363  0.038832613 -0.0548899391 -0.007755521
#> 62  0.0264976708 -0.0908884551  0.276706200  0.0625155099 -0.043098297
#> 63 -0.0248348546  0.0275757198 -0.068661564  0.1142103179  0.048899861
#> 64 -0.0415382973 -0.0943197472  0.078347756  0.1036292640  0.009256704
#> 65 -0.0759780982  0.0001832581  0.145099488  0.0765735376 -0.064968600
#> 66 -0.0683375456  0.0675731709  0.118210180 -0.0297153954 -0.065000765
#> 67 -0.0484430733 -0.0174734336 -0.085040988  0.0039976703 -0.038099341
#> 68 -0.0739067390  0.0638239421 -0.077672078  0.0308836176  0.105721607
#> 69 -0.0283335895  0.0383028718  0.040605463  0.0877103719  0.034548717
#> 70  0.0019408972  0.0219124166 -0.044813288  0.0976988886 -0.050131200
#> 71  0.6226715821 -0.0985922039 -0.112110887 -0.0379962605  0.085897685
#> 72 -0.0863700083  0.6104493866 -0.115631970  0.0002071433  0.012514747
#> 73 -0.0896788589 -0.1054221375  0.600239554  0.0414099150 -0.055552838
#> 74  0.1177965056 -0.0283410051  0.017815736  0.0602752910  0.054581346
#> 75 -0.0061984849  0.0197827233  0.050775662  0.5908738065  0.022759592
#> 76  0.0952890600  0.0096839258 -0.068593492  0.0003531905  0.613280208
#> 77  0.0061871509 -0.0445667795  0.179013341  0.0525992307 -0.118189825
#> 78  0.0041142509  0.1198051455 -0.074774977  0.1018132303  0.009359131
#> 79 -0.0754581357  0.0576694600  0.062374730  0.0180197187 -0.055589605
#> 80  0.0477606145 -0.0508616349 -0.108151258  0.0077740700 -0.063439506
#>            [,66]        [,67]         [,68]
#> 1  -0.1382014481 -0.138619064  0.0116073212
#> 2   0.0067746909 -0.030242123  0.0383504538
#> 3  -0.0058887483 -0.035264821 -0.0255743338
#> 4   0.0713011155 -0.004358190 -0.0748989602
#> 5  -0.1062465617 -0.106652392 -0.0692312529
#> 6  -0.0071752806 -0.044490967  0.0350726856
#> 7  -0.0337525306 -0.032462863 -0.0235403751
#> 8  -0.0347053077 -0.034419943 -0.1242238056
#> 9  -0.0351609675 -0.064487821  0.0671021189
#> 10 -0.0751981581 -0.101737843 -0.1108928888
#> 11 -0.1318697971 -0.095748684 -0.1748021810
#> 12  0.0359015108  0.094102424  0.0129001834
#> 13  0.0585984402 -0.028735296 -0.0863358845
#> 14  0.0923356891  0.186813188  0.0638462202
#> 15 -0.0089317828 -0.084892556 -0.0316632813
#> 16 -0.1722504423 -0.135332092  0.0225441272
#> 17 -0.0165591521  0.089094172  0.0500723603
#> 18 -0.1392876972 -0.095828429  0.1491152659
#> 19  0.1661279338  0.133312077 -0.1023193252
#> 20  0.0049829183  0.241119309 -0.0151787292
#> 21 -0.1226021047 -0.141339453  0.1193218655
#> 22 -0.0150852937 -0.097171860  0.0778944589
#> 23  0.0958541662 -0.005595494 -0.0144397495
#> 24 -0.1040135503  0.028773844 -0.0514937874
#> 25  0.0478888318 -0.005696408  0.2262942222
#> 26 -0.0041755640  0.022206077 -0.0761271809
#> 27 -0.0250040760 -0.114024976 -0.1156740417
#> 28 -0.1219665633 -0.142297840 -0.1148107782
#> 29 -0.0840966288 -0.021448330  0.0259743983
#> 30 -0.0815351142 -0.054745120 -0.0365229399
#> 31  0.0038133486 -0.076695004  0.1231807836
#> 32  0.0590241934 -0.003617929 -0.0333424287
#> 33  0.1063359128  0.051560519  0.1540412190
#> 34  0.1495967002  0.251475030 -0.0299287679
#> 35 -0.0906635934 -0.038188797 -0.1505150986
#> 36  0.1354909179  0.091327358 -0.0229079411
#> 37 -0.1305480405 -0.018514593 -0.0574979446
#> 38 -0.0828730171 -0.027976012  0.0131968105
#> 39 -0.1228887388 -0.072250881  0.2092800920
#> 40 -0.0253835369 -0.074867371  0.1179423209
#> 41 -0.0365927268 -0.063113522  0.0532562950
#> 42 -0.0783072889 -0.153918872 -0.1311099678
#> 43  0.0271940453  0.028956040 -0.0005505544
#> 44 -0.0845565730 -0.102469375  0.1666319865
#> 45 -0.0559417380  0.053034948  0.0420462491
#> 46 -0.1056303315 -0.071383844 -0.0366883410
#> 47 -0.0972038279 -0.033357738  0.0293478830
#> 48 -0.0444139022 -0.114836106 -0.0509877520
#> 49 -0.1320022202 -0.146779043 -0.0331708443
#> 50  0.0489411946 -0.026739879 -0.0832989148
#> 51  0.0902165245  0.040975018 -0.0717174045
#> 52 -0.0281348761 -0.105173790  0.0182931404
#> 53 -0.0386880398 -0.104783515  0.1030447659
#> 54 -0.0232012854  0.004506130 -0.0582558052
#> 55 -0.0514561007 -0.061521465  0.0465804818
#> 56 -0.0405059404  0.015439636 -0.0041937805
#> 57  0.0170892063  0.128794794  0.0575477559
#> 58  0.0630732684  0.139268232  0.0596803178
#> 59 -0.1231573571 -0.048077061 -0.0516485404
#> 60  0.1821958507  0.104139699 -0.0303930773
#> 61  0.0727422927  0.164853436 -0.1787724961
#> 62  0.1971580996  0.011767049 -0.0240248573
#> 63 -0.0551040609 -0.061311606 -0.0918789704
#> 64 -0.0326925689 -0.078938804  0.0537410962
#> 65 -0.0030203500 -0.054090827 -0.0635701983
#> 66  0.1482457300  0.132771858 -0.0830320864
#> 67 -0.0004370534  0.078904582 -0.0554378242
#> 68 -0.0736344914  0.004907856  0.0124409337
#> 69  0.0575906409  0.116550023 -0.1064141865
#> 70  0.1046129267  0.044645067  0.1169078996
#> 71 -0.0282210211 -0.112102606  0.0218727951
#> 72 -0.0667527559  0.033247185 -0.0645272586
#> 73  0.1670371977  0.048162288 -0.1116070485
#> 74  0.0930044253  0.105910654  0.0038805388
#> 75  0.0499888344  0.013173024  0.0136840263
#> 76 -0.1432066224 -0.082842701 -0.0799359506
#> 77  0.5882634102  0.245380343 -0.0157544345
#> 78  0.0942029562  0.130116344  0.1168298906
#> 79  0.2476166417  0.586027112 -0.0614147563
#> 80 -0.0242747870 -0.072171407  0.5967837628
#> 
#> $Y
#>           [,1]
#> 1  -1.34092076
#> 2  -0.40354514
#> 3  -0.08804619
#> 4  -0.19662129
#> 5  -0.83292838
#> 6  -0.24326776
#> 7  -0.24326776
#> 8   1.71759798
#> 9  -0.40354514
#> 10 -0.01470504
#> 11  2.24746138
#> 12 -0.08804619
#> 13 -0.24326776
#> 14 -0.95351156
#> 15 -0.01470504
#> 16 -0.01470504
#> 17 -0.40354514
#> 18 -0.24326776
#> 19  0.80319493
#> 20 -0.95351156
#> 21 -0.29286530
#> 22 -0.14620204
#> 23 -0.24326776
#> 24 -0.83292838
#> 25 -0.95351156
#> 26 -0.01470504
#> 27 -0.29286530
#> 28 -0.29286530
#> 29 -0.24326776
#> 30 -0.08804619
#> 31  2.44413581
#> 32 -0.34683102
#> 33 -0.40354514
#> 34 -0.59103998
#> 35  1.45423823
#> 36 -0.83292838
#> 37  1.84475166
#> 38 -0.40354514
#> 39 -0.01470504
#> 40  1.22055754
#> 41 -0.01470504
#> 42 -0.34683102
#> 43 -0.19662129
#> 44 -0.83292838
#> 45 -0.01470504
#> 46 -0.77069581
#> 47 -0.95351156
#> 48 -0.29286530
#> 49 -0.24326776
#> 50  0.04504303
#> 51 -0.65052072
#> 52  0.61191952
#> 53 -0.19662129
#> 54  2.09707181
#> 55  2.74899002
#> 56 -0.40354514
#> 57 -0.95351156
#> 58 -0.01470504
#> 59 -0.34683102
#> 60 -0.83292838
#> 61 -0.14620204
#> 62  1.59220679
#> 63  1.97001211
#> 64 -0.24326776
#> 65  1.11276978
#> 66 -0.01470504
#> 67 -0.29286530
#> 68 -0.34683102
#> 69  1.33191320
#> 70 -0.83292838
#> 71 -0.83292838
#> 72  1.00663078
#> 73 -0.29286530
#> 74 -0.34683102
#> 75 -0.24326776
#> 76  0.90572278
#> 77 -0.83292838
#> 78 -0.29286530
#> 79 -0.40354514
#> 80 -0.29286530
#> attr(,"scaled:center")
#> [1] -0.1434088
#> 
#> $ncomp
#> [1] 6
#> 
#> $mode
#> [1] "regression"
#> 
#> $mat.c
#>           comp 1        comp 2       comp 3       comp 4       comp 5
#> X1   0.005420862 -0.2860516608 -0.000449931  0.186993883 -0.096138336
#> X2   0.041802110 -0.1261433447  0.345818810 -0.301785104 -0.077318447
#> X3   0.129020397 -0.0606174576  0.076697305 -0.044201451  0.024073695
#> X4   0.006826779  0.0003519712  0.079595513 -0.124525447  0.056909598
#> X5   0.198942423 -0.0317047000 -0.249038873  0.158433203 -0.083748480
#> X6  -0.079236087  0.1397269879 -0.135229849 -0.083508113 -0.133011742
#> X7   0.216500510  0.0888404959 -0.208318752  0.004089737  0.146911602
#> X8   0.028056842 -0.2080037605  0.283171196 -0.142283909 -0.051019217
#> X9   0.038475426  0.1581066358 -0.216803532  0.207493533  0.093432186
#> X10 -0.229270425  0.1282685280 -0.197330849  0.186506311  0.138383963
#> X11  0.135203136 -0.2311961368  0.065913489 -0.109222672  0.229358855
#> X12 -0.174901377  0.2224814885 -0.110546696 -0.170141636  0.028061214
#> X13  0.082424460 -0.3141803315  0.176884835  0.113333003  0.145280015
#> X14  0.144797378 -0.1133603604 -0.079459870  0.094437791 -0.194982478
#> X15 -0.102455532 -0.1526730958  0.021009018  0.082571437 -0.117921788
#> X16 -0.006984750  0.0050708524  0.120039411 -0.185152125  0.330555812
#> X17 -0.215953428  0.2076587570 -0.079473065 -0.110631937  0.056194520
#> X18 -0.052627030 -0.0914297211  0.138160454  0.152557220 -0.266598655
#> X19  0.018264480 -0.1561455386 -0.071680827  0.120630833 -0.035100149
#> X20  0.050092924 -0.0923719410  0.200522730 -0.095110247  0.110669380
#> X21  0.022249984  0.2379109558 -0.168087531 -0.013488279 -0.099566663
#> X22 -0.229590449  0.0238522593 -0.143533019  0.118993762  0.003467709
#> X23 -0.230605436  0.2439167381 -0.051969911 -0.035051221  0.001438473
#> X24  0.144388048 -0.0433828078 -0.001404401 -0.017693648  0.122130396
#> X25  0.162417489 -0.0725518637 -0.052580293  0.115904886 -0.019772205
#> X26 -0.174654782  0.1049411095  0.263758317 -0.056819571 -0.112442481
#> X27  0.102107169 -0.0541767667  0.128671977  0.143963678 -0.053894568
#> X28 -0.133317720 -0.1857883611  0.371032735 -0.124550084  0.011690174
#> X29 -0.088972366  0.1272183178 -0.002623409 -0.245928411  0.370313026
#> X30  0.155592385 -0.0297912560 -0.120896093  0.086188042  0.053171386
#> X31 -0.030861326 -0.0114621952 -0.008184645 -0.079876336  0.301801824
#> X32  0.060501123  0.2441405263 -0.112650014  0.120219607 -0.099731385
#> X33 -0.227606751  0.1465740453  0.093705348  0.035915763 -0.267919558
#> X34  0.059225989 -0.1042925093  0.045553283  0.174682784 -0.155485386
#> X35  0.205205981 -0.1610604867 -0.100124939  0.150298362  0.084596055
#> X36 -0.213551533  0.0072663582 -0.001847344  0.218130837  0.021095592
#> X37 -0.050425471 -0.0314216598  0.234436551 -0.020668836 -0.331037785
#> X38 -0.175174189  0.1422427540  0.135231396 -0.198185937  0.013090250
#> X39  0.051068771  0.1299901731 -0.365796591  0.182253730 -0.098988940
#> X40  0.089916038 -0.0154973783  0.046804948 -0.229248362 -0.079281255
#> X41  0.019166589 -0.0817367542  0.081360525 -0.080777135  0.250528976
#> X42 -0.037990537 -0.2016555816  0.165743086 -0.084341432  0.249821636
#> X43  0.270606167 -0.2162433613  0.213550862 -0.183743749 -0.065953990
#> X44  0.079019138 -0.2289259054  0.295074356 -0.012973976 -0.080005333
#> X45  0.004895286  0.2310833221  0.165905783 -0.070057632 -0.031064111
#> X46  0.152289253  0.0677745286  0.257696439 -0.097241638 -0.086154606
#> X47 -0.114891842 -0.1845528006  0.098323953  0.149317634  0.044935692
#> X48 -0.191279014 -0.1557172562  0.095578802  0.005157514  0.144921314
#> X49 -0.139273328  0.2476745065  0.183088339 -0.194753762  0.021888151
#> X50 -0.154699517  0.2536225364 -0.220169225  0.229724058 -0.114176473
#> X51 -0.163778604  0.0955599141 -0.122549061  0.068108907  0.263054169
#> X52  0.008996393  0.2175182359 -0.055740715 -0.129803217  0.299648913
#> X53  0.104536349 -0.2214018847  0.188145778 -0.142310038  0.293363347
#> X54  0.260212631  0.0401043110 -0.024746878  0.137970219  0.092283827
#> X55  0.183917415 -0.2530675903  0.062436429 -0.221189698 -0.056131495
#> X56  0.165903085 -0.0630311381  0.249524114 -0.240505622  0.105825070
#> X57 -0.040666543  0.0538504925  0.022835613 -0.183622344  0.280061343
#> X58 -0.132802310 -0.0905436463 -0.148025226 -0.011196967  0.169242214
#> X59  0.017818210 -0.0203496274 -0.079622491  0.100772083  0.061607882
#> X60  0.099391950  0.0352920463  0.027561118 -0.106477210  0.234078209
#> X61 -0.024482610  0.0060354515 -0.041633061  0.257616854 -0.077684404
#> X62 -0.016576755  0.2075065572 -0.038753022 -0.011569537  0.117156393
#> X63  0.102859411 -0.0621406773  0.141399107 -0.289359468  0.274641002
#> X64  0.192593050 -0.1225948169  0.001333334 -0.142068386  0.100328350
#> X65  0.161910513  0.1031357290 -0.350912480  0.210753988 -0.036217190
#> X66 -0.092340653 -0.0369936732  0.083209496 -0.293868453  0.374314524
#> X67 -0.180124857  0.1645215194 -0.017620088 -0.291985692  0.349152233
#> X68 -0.159462778 -0.1401909139  0.157980723  0.051528646 -0.196971910
#>           comp 6
#> X1  -0.064043142
#> X2   0.073122948
#> X3  -0.081009573
#> X4  -0.192586151
#> X5   0.054046169
#> X6   0.220967461
#> X7   0.019675200
#> X8   0.024504900
#> X9  -0.013360293
#> X10 -0.027829297
#> X11  0.007502279
#> X12  0.246722193
#> X13 -0.174532455
#> X14  0.317651566
#> X15  0.152094218
#> X16 -0.219580427
#> X17  0.106977865
#> X18  0.051431818
#> X19  0.285772721
#> X20 -0.167792150
#> X21  0.029586682
#> X22  0.145923455
#> X23 -0.109857487
#> X24 -0.097322648
#> X25 -0.210878024
#> X26  0.007392353
#> X27  0.099611238
#> X28  0.057485378
#> X29 -0.015037250
#> X30  0.052578586
#> X31 -0.217439674
#> X32  0.066523952
#> X33  0.204655262
#> X34  0.182283589
#> X35 -0.201767519
#> X36  0.004181829
#> X37  0.106726247
#> X38  0.118224450
#> X39  0.048652702
#> X40  0.057672879
#> X41 -0.255743215
#> X42 -0.226060717
#> X43  0.216843562
#> X44 -0.040178917
#> X45 -0.002024143
#> X46  0.087328582
#> X47 -0.176164641
#> X48 -0.024985654
#> X49  0.132612274
#> X50 -0.131664926
#> X51 -0.189901014
#> X52 -0.309450298
#> X53 -0.140605276
#> X54  0.034385772
#> X55  0.234427994
#> X56 -0.011505110
#> X57 -0.203146310
#> X58 -0.086951563
#> X59  0.063450391
#> X60 -0.106055656
#> X61 -0.145186321
#> X62 -0.083589401
#> X63  0.022208034
#> X64  0.230020246
#> X65  0.030906954
#> X66 -0.085635847
#> X67 -0.006200755
#> X68  0.311704362
#> 
#> $mat.d
#>          [,1]     [,2]     [,3]     [,4]      [,5]     [,6]
#> [1,] 1.627201 1.801419 1.308174 1.969336 0.8656825 1.731821
#> 
#> $mat.e
#>      [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,]   NA   NA   NA   NA   NA   NA
#> 
#> $variates
#> $variates$X
#>          comp 1       comp 2      comp 3       comp 4       comp 5       comp 6
#> 1  -0.119366461 -0.470163040 -0.14770155  0.103347069 -0.231036722 -0.143465539
#> 2   0.096720271 -0.098632593  0.28516603 -0.306594210 -0.233999873  0.043862045
#> 3   0.294440257 -0.006572275  0.08392684 -0.020204601 -0.044004165 -0.121795748
#> 4   0.051437327  0.010906189  0.02258421 -0.139996618 -0.054217225 -0.153712226
#> 5   0.409158082 -0.069767312 -0.36849617  0.047142886 -0.163130759 -0.056397382
#> 6  -0.154980696  0.089287407 -0.28968606 -0.222275226 -0.251171263  0.143174594
#> 7  -0.224409381  0.134131627 -0.11497907  0.098699703 -0.087614148 -0.126741971
#> 8   0.533133451  0.167932267 -0.25423490  0.027814356  0.188701005  0.106335561
#> 9   0.015039991 -0.237508754  0.26809576 -0.127971339 -0.146845155 -0.043690573
#> 10  0.057249777 -0.009758618  0.13192506 -0.080574944 -0.220588230 -0.119923131
#> 11  0.154944054  0.239500090 -0.16736842  0.313780973  0.235164582  0.208707927
#> 12 -0.447578645  0.085620155 -0.17543050  0.264751582  0.259106178  0.073126969
#> 13  0.227161039 -0.304703338 -0.05142946 -0.085964502  0.216366460  0.011977120
#> 14 -0.326591394  0.200848435 -0.22229923 -0.254704379 -0.041708960  0.156861871
#> 15  0.113665374 -0.367508815  0.20561017  0.231054904  0.163774635 -0.156894306
#> 16  0.278299780 -0.155038223 -0.17776927  0.029436272 -0.237172738  0.255575791
#> 17 -0.323454926 -0.019238303  0.02649452 -0.049574378  0.101406229  0.135766328
#> 18 -0.265681949 -0.265873098 -0.02369941  0.101741167 -0.076399990  0.208123235
#> 19  0.014933140  0.050227147  0.13225939 -0.084659807  0.331856342 -0.144277574
#> 20 -0.418441644  0.183798750 -0.14929677 -0.149046199  0.010988486  0.090204856
#> 21 -0.119653161 -0.104119585  0.16244819  0.151464999 -0.359695296 -0.025963395
#> 22 -0.006061815 -0.247909157 -0.14002258  0.149376731  0.052816236  0.338912246
#> 23  0.116450595 -0.055479040  0.22240860 -0.049077863  0.041901610 -0.208399050
#> 24  0.136927228  0.289044521 -0.26536583 -0.154906892 -0.299342308 -0.125041370
#> 25 -0.510731794 -0.103485894 -0.22732778  0.098677458  0.008932034  0.127827990
#> 26 -0.412614639  0.263605747 -0.06587338 -0.054463403 -0.079658997 -0.077463887
#> 27  0.327775198 -0.026468451 -0.06392982 -0.035727589  0.031600240 -0.150347519
#> 28  0.357424724 -0.091692648 -0.15174215  0.025140771 -0.221752124 -0.336211223
#> 29 -0.296387647  0.195282139  0.35648928 -0.010553890 -0.238797292 -0.083744788
#> 30 -0.297459057  0.155543771 -0.10571129 -0.008775468 -0.225187277 -0.073004092
#> 31  0.279360933  0.076077094  0.30862752  0.311666441  0.049886507  0.132633505
#> 32 -0.267185712 -0.097352761 -0.07473648  0.026943255 -0.079259260  0.011157180
#> 33 -0.328817326 -0.205041542  0.41020479 -0.034353324 -0.051461296 -0.004320914
#> 34 -0.138742113  0.154516926 -0.04675622 -0.185883328  0.379689546  0.017962239
#> 35  0.333471712 -0.008395729 -0.19088357  0.119332455  0.070226017  0.176639853
#> 36 -0.055013256 -0.020663803 -0.02975471 -0.021980021  0.303056613 -0.196991691
#> 37  0.257561930  0.402290827 -0.03450839  0.146491722 -0.128708629  0.041085795
#> 38 -0.239258503  0.130860431  0.04360579  0.156824927 -0.079823555  0.013127502
#> 39 -0.431258613  0.170099103  0.13874251  0.015650546 -0.352048483  0.106985447
#> 40  0.135631964 -0.080692120  0.09562367  0.222405698 -0.159436117  0.115275000
#> 41 -0.097095307  0.045667964  0.15908558  0.021879024 -0.206422378 -0.040567409
#> 42  0.405853905 -0.218296851 -0.20525788  0.098599312 -0.016269195 -0.253608245
#> 43 -0.416199634 -0.008342459  0.08273205  0.351791698  0.138743696  0.103619279
#> 44 -0.097073191 -0.004117538  0.22824815 -0.083147424 -0.548935014 -0.061387268
#> 45 -0.311083861  0.190866447  0.15130412 -0.150487348 -0.010059766  0.154064726
#> 46  0.122609206  0.078353915 -0.52119327  0.024148626 -0.213083516 -0.053610033
#> 47  0.021774875 -0.045478425 -0.03989865 -0.114740692 -0.207936584 -0.052447981
#> 48  0.214623170 -0.042969155 -0.12866922 -0.343553160 -0.254682498  0.059232541
#> 49  0.319967003 -0.045215897 -0.12773237  0.081297555 -0.119973604  0.065329006
#> 50  0.027693652 -0.095080711  0.04788482 -0.022236214  0.220485998 -0.183754218
#> 51 -0.125553992 -0.265019149  0.14607975  0.021863235  0.267618315 -0.127138472
#> 52  0.565395444 -0.174216390  0.16613699 -0.171740231 -0.135621242  0.180116179
#> 53  0.139154913 -0.222785370  0.33757824  0.017612380 -0.193288301 -0.177649990
#> 54  0.166021914  0.482853968  0.37319418  0.102738565  0.035687209  0.088862324
#> 55  0.432447555  0.311157674  0.45983649  0.062249846 -0.051157037  0.126536646
#> 56 -0.306900990 -0.275755525  0.10196293  0.218836723  0.041751199 -0.118743435
#> 57 -0.463248078 -0.273369669  0.06031684  0.074297886  0.171708639  0.020231503
#> 58 -0.180314606  0.415367399  0.30690159 -0.100449743  0.011232321  0.099089903
#> 59 -0.250860012  0.256323124 -0.25428780  0.152193398 -0.227146346 -0.179079625
#> 60 -0.331643594  0.048362438 -0.14564638  0.092860061  0.270231904 -0.204015400
#> 61  0.124307010  0.308857645 -0.07069009 -0.115389158  0.221345327 -0.299341076
#> 62  0.196394157 -0.218529897  0.22036274  0.005168617  0.394724213 -0.034060580
#> 63  0.646300561  0.224309130  0.09014559  0.287339704  0.168802219  0.125720063
#> 64  0.321008580 -0.357756416 -0.13587198 -0.303151058 -0.131741898  0.233729362
#> 65  0.401032675  0.059885492  0.32506088 -0.126379172  0.140957043  0.084500707
#> 66 -0.075347227  0.066075020 -0.02843062 -0.151563399  0.241470592 -0.156589898
#> 67 -0.327595433 -0.267696148 -0.31941049 -0.033721177  0.184325807  0.046079364
#> 68  0.044839743 -0.035118936 -0.09419935  0.135948261  0.084206216  0.049947869
#> 69  0.263821613  0.123320859  0.07286169 -0.002547123  0.306481818 -0.014058706
#> 70 -0.135418084 -0.018231644 -0.09089514 -0.050272212  0.066316862  0.135093616
#> 71 -0.016974058  0.007561739 -0.03257122  0.242678038 -0.202890637 -0.253142539
#> 72  0.062604558  0.327333884  0.00892866  0.042185936  0.078820024 -0.096241350
#> 73  0.219016616 -0.030701408  0.09738161 -0.225794380  0.295098992  0.079733728
#> 74 -0.140957629 -0.052682947 -0.07453394 -0.144599457  0.090732189 -0.023488187
#> 75  0.403588149 -0.126407079 -0.07556093 -0.126169667  0.132214678  0.232826097
#> 76  0.381302414  0.112669047 -0.44182105  0.127476245 -0.093695917 -0.033050078
#> 77 -0.205735368 -0.094477806 -0.01400431 -0.260123899  0.360455935 -0.054360074
#> 78 -0.091481793 -0.098656528 -0.07538709 -0.041250950  0.149740233  0.076081022
#> 79 -0.338690073  0.162933685 -0.08850138 -0.256849342  0.357163318  0.024737255
#> 80 -0.374682874 -0.204501011  0.17335096  0.098544761 -0.199823674  0.263866700
#> 
#> $variates$Y
#>          comp 1        comp 2        comp 3       comp 4       comp 5
#> 1  -0.824065735 -6.365466e-01 -0.2291183388 -0.054082870 -0.358136375
#> 2  -0.247999530 -3.113814e-01 -0.2929654696 -0.384036415 -0.176172783
#> 3  -0.054108972 -3.148405e-01 -0.4245003452 -0.337733810 -0.722345196
#> 4  -0.120834037 -1.556107e-01 -0.2293019120 -0.167320833 -0.062159683
#> 5  -0.511877926 -8.319611e-01 -1.0495780670 -0.452423455 -1.136460320
#> 6  -0.149500727  4.949992e-03 -0.1161367416  0.115283910  0.767911152
#> 7  -0.149500727  6.766411e-02 -0.0915290137  0.015577209 -0.189094840
#> 8   1.055553529  4.718960e-01  0.4185728623  0.446927184  0.953437133
#> 9  -0.247999530 -2.376005e-01 -0.0001263816 -0.178172387 -0.114202048
#> 10 -0.009037016 -5.987609e-02 -0.0690142035 -0.133478275 -0.120349454
#> 11  1.381182218  1.107647e+00  1.1954802081  0.905301829  1.345647068
#> 12 -0.054108972  3.554166e-01  0.3715228420  0.363325649  0.224245524
#> 13 -0.149500727 -3.402342e-01 -0.0489277041  0.001661842  0.199340618
#> 14 -0.585982579 -2.343050e-01 -0.5992275872 -0.250382857  0.009831005
#> 15 -0.009037016 -1.108356e-01  0.3534515076  0.098206821 -0.302215267
#> 16 -0.009037016 -2.595480e-01 -0.1439150370  0.022488413 -0.015805640
#> 17 -0.247999530  6.815798e-02  0.1203489508  0.062344847  0.254604339
#> 18 -0.149500727  1.049451e-01  0.5106348383  0.354943142  0.576007576
#> 19  0.493605170  4.323789e-01  0.5262415844  0.261711236  0.787957303
#> 20 -0.585982579 -1.513378e-01 -0.4614993662 -0.207387364 -0.132719948
#> 21 -0.179980997 -5.449343e-02  0.0683376389 -0.062514977 -0.486781698
#> 22 -0.089848775 -7.568378e-02  0.2371627556  0.250553558  0.230166526
#> 23 -0.149500727 -2.402307e-01 -0.2544120999 -0.316738515 -0.608899532
#> 24 -0.511877926 -5.860581e-01 -1.2050591077 -0.624211687 -1.067618522
#> 25 -0.585982579 -6.797316e-02  0.0489027747  0.183492148  0.192944404
#> 26 -0.009037016  3.645470e-01  0.1390009829  0.136092249  0.433493851
#> 27 -0.179980997 -4.586502e-01 -0.5951354539 -0.352864889 -0.721453647
#> 28 -0.179980997 -4.854323e-01 -0.5421987667 -0.259369294 -0.647230154
#> 29 -0.149500727  1.326812e-01 -0.0862044942 -0.294068966 -0.644966659
#> 30 -0.054108972  2.198153e-01  0.0885050275  0.129012408  0.313452770
#> 31  1.502048912  1.104440e+00  1.4161056824  0.735666446  0.964554940
#> 32 -0.213145749  4.881367e-02  0.2012783140  0.183348824  0.355806042
#> 33 -0.247999530  7.300177e-02  0.3828792303 -0.018151596  0.036857209
#> 34 -0.363224886 -2.027727e-01 -0.4920052335 -0.295766336 -0.249972162
#> 35  0.893705226  5.060524e-01  0.7084202092  0.597382085  1.087512092
#> 36 -0.511877926 -4.126805e-01 -0.5398261855 -0.338826067 -0.720791074
#> 37  1.133696096  7.914018e-01  0.5358247875  0.378856214  0.528604519
#> 38 -0.247999530 -7.895667e-03 -0.1910739283 -0.155891104 -0.711395730
#> 39 -0.009037016  3.813878e-01  0.2909549209  0.101110403  0.194412090
#> 40  0.750096255  5.550384e-01  0.8754320283  0.518004655  0.672456205
#> 41 -0.009037016  7.954203e-02  0.0466462399 -0.074690278 -0.219684898
#> 42 -0.213145749 -5.591352e-01 -0.4693510175 -0.175429607 -0.623386661
#> 43 -0.120834037  2.668003e-01  0.3788850217  0.196726049 -0.352757868
#> 44 -0.511877926 -3.746883e-01 -0.5102940171 -0.490592689 -0.926894667
#> 45 -0.009037016  2.728354e-01  0.1128752433 -0.025527215  0.284271020
#> 46 -0.473632765 -5.385784e-01 -0.8495459675 -0.218115420 -0.551124952
#> 47 -0.585982579 -5.489802e-01 -0.6933465740 -0.434066985 -0.726433371
#> 48 -0.179980997 -3.564413e-01 -0.4316665191 -0.201272542  0.323673280
#> 49 -0.149500727 -4.240647e-01 -0.5216933470 -0.261697141 -0.780276471
#> 50  0.027681289 -1.116737e-05  0.1309154073  0.055154874  0.176056498
#> 51 -0.399778908 -2.477042e-01  0.0238435746 -0.081198036 -0.234453435
#> 52  0.376056452 -1.710277e-01  0.0043909783 -0.107443303  0.146268676
#> 53 -0.120834037 -2.348450e-01 -0.0166066802 -0.235275035 -0.575291988
#> 54  1.288759988  1.014156e+00  0.7316291448  0.238098214  0.307928814
#> 55  1.689397719  1.135388e+00  1.1350060146  0.448496035  0.878669023
#> 56 -0.247999530  5.320500e-02  0.4529947198  0.233180497  0.032630561
#> 57 -0.585982579 -1.108646e-01  0.2237773616  0.108582207  0.077993184
#> 58 -0.009037016  1.547130e-01 -0.3589337753 -0.442295617 -0.777663025
#> 59 -0.213145749  3.406685e-02 -0.3060577449 -0.034389310 -0.424455827
#> 60 -0.511877926 -1.628036e-01 -0.2907859109 -0.096412087 -0.430574018
#> 61 -0.089848775 -1.934444e-01 -0.6916944914 -0.412515675 -0.675931239
#> 62  0.978494100  7.064618e-01  1.2737587050  0.699741166  1.580078716
#> 63  1.210675172  5.097930e-01  0.3931252430  0.201260820 -0.195820312
#> 64 -0.149500727 -4.250056e-01 -0.0926053698  0.028740789  0.755018671
#> 65  0.683855061  2.554702e-01  0.2693296474 -0.037020685  0.203281059
#> 66 -0.009037016  5.989724e-02 -0.0085071036  0.013234629  0.374897995
#> 67 -0.179980997  1.333384e-01  0.5522441661  0.579015555  1.393910932
#> 68 -0.213145749 -2.330353e-01 -0.2725404850 -0.118466976 -0.578767618
#> 69  0.818530115  5.010617e-01  0.5201676223  0.297132689  0.681739714
#> 70 -0.511877926 -3.400518e-01 -0.4431620582 -0.234000956 -0.417963362
#> 71 -0.511877926 -4.470409e-01 -0.6260100354 -0.394204635 -1.448840379
#> 72  0.618627105  5.022487e-01  0.2408662227  0.154069568  0.254523370
#> 73 -0.179980997 -3.604099e-01 -0.4540246909 -0.366283624 -0.319598097
#> 74 -0.213145749 -6.520669e-02 -0.0172458019  0.038054891  0.415519225
#> 75 -0.149500727 -4.995987e-01 -0.5139031395 -0.291178339 -0.375377188
#> 76  0.556613879  1.583568e-01  0.0629142715  0.335281412  0.472734665
#> 77 -0.511877926 -2.765350e-01 -0.2507016543 -0.157231353  0.234069604
#> 78 -0.179980997 -7.994030e-02  0.0257731628  0.067197896  0.246709596
#> 79 -0.247999530  8.191971e-02 -0.1115602033 -0.015317326  0.549459661
#> 80 -0.179980997  1.758719e-01  0.5237921319  0.232788165  0.305389473
#>          comp 6
#> 1  -0.063533083
#> 2   0.028905927
#> 3  -0.339081156
#> 4  -0.003970183
#> 5  -0.486536562
#> 6   0.509406961
#> 7  -0.050726978
#> 8   0.382267324
#> 9   0.016317253
#> 10  0.050106183
#> 11  0.555094957
#> 12 -0.017425735
#> 13 -0.008510678
#> 14  0.025763193
#> 15 -0.232933565
#> 16  0.110654388
#> 17  0.076578874
#> 18  0.326117840
#> 19  0.227990398
#> 20 -0.071835286
#> 21 -0.063526460
#> 22  0.088651782
#> 23 -0.325314840
#> 24 -0.384036900
#> 25  0.091981945
#> 26  0.256508825
#> 27 -0.376427742
#> 28 -0.212682966
#> 29 -0.203031178
#> 30  0.269249067
#> 31  0.457213725
#> 32  0.217475339
#> 33  0.044147618
#> 34 -0.314747907
#> 35  0.508509028
#> 36 -0.511788970
#> 37  0.328569985
#> 38 -0.315702889
#> 39  0.273158300
#> 40  0.415836574
#> 41 -0.006629513
#> 42 -0.303478756
#> 43 -0.245686035
#> 44 -0.188930037
#> 45  0.147126620
#> 46 -0.168976187
#> 47 -0.259180091
#> 48  0.289101701
#> 49 -0.330064450
#> 50 -0.022208898
#> 51 -0.250969736
#> 52  0.140907825
#> 53 -0.190951521
#> 54  0.136084940
#> 55  0.464790542
#> 56 -0.004559117
#> 57 -0.046845382
#> 58 -0.394343750
#> 59 -0.098628748
#> 60 -0.350310642
#> 61 -0.448520083
#> 62  0.592521102
#> 63 -0.182263233
#> 64  0.443263470
#> 65  0.031153798
#> 66  0.066696125
#> 67  0.604633221
#> 68 -0.331399582
#> 69  0.187579515
#> 70 -0.242076317
#> 71 -0.622810739
#> 72  0.087828527
#> 73 -0.307267569
#> 74  0.162350733
#> 75 -0.253729067
#> 76  0.283140674
#> 77 -0.063176517
#> 78  0.048471908
#> 79  0.096122840
#> 80  0.252540021
#> 
#> 
#> $loadings
#> $loadings$X
#>            comp 1       comp 2        comp 3       comp 4       comp 5
#> X1  -0.1233783705 -0.244892977  0.0540613482  0.061449862 -0.160948844
#> X2   0.0087705958 -0.062804612  0.0831945278 -0.296052969  0.007348662
#> X3   0.0977064889 -0.059538833  0.0014167576 -0.084862790 -0.052128294
#> X4  -0.0003627725 -0.013669884 -0.0184175084 -0.110488816  0.017995119
#> X5   0.1052894127 -0.178067554 -0.1922455344  0.064022399 -0.121035712
#> X6  -0.0754469124  0.007204563 -0.1740663262 -0.043779860  0.050932067
#> X7   0.2230038340  0.012365124 -0.1004493174  0.121599824  0.150649251
#> X8  -0.0269203668 -0.104531154  0.1359098024 -0.166005872 -0.030411822
#> X9   0.1404967983  0.193978777  0.0471175491  0.297514833  0.115408317
#> X10 -0.1552634090  0.140713559  0.0163463714  0.240875576  0.069702009
#> X11  0.0341381372 -0.192160371  0.0512729253 -0.016504119  0.118866226
#> X12 -0.1351778367  0.075528524 -0.1930206361 -0.092971810  0.098932584
#> X13  0.0124684723 -0.133011120  0.2379631919  0.068852845 -0.057024062
#> X14  0.0771954277 -0.128535260 -0.0199320149  0.067104984 -0.035040966
#> X15 -0.1342056693 -0.060368260  0.1212410933  0.112990327  0.038997359
#> X16  0.0265743275  0.063807696  0.0771500119 -0.048348667  0.175383570
#> X17 -0.1588525715  0.108568959 -0.1301530447 -0.057130888  0.068588946
#> X18 -0.0568049623 -0.007943729  0.1096576676 -0.032130824 -0.236772146
#> X19 -0.0296454179 -0.091093691  0.0854446799  0.177125559  0.072426873
#> X20  0.0337718090 -0.031032222  0.0805688516 -0.135222462 -0.051424309
#> X21  0.0382978990  0.030512773 -0.2724145736 -0.117606530 -0.133480768
#> X22 -0.2243242196  0.010012968 -0.0181777136  0.141311420  0.028611489
#> X23 -0.1304021537  0.190521944 -0.0701333057 -0.020475361  0.018686416
#> X24  0.1033293612 -0.078067112 -0.0455573419 -0.049773041 -0.041126142
#> X25  0.0942949602 -0.129525065 -0.0748334919 -0.025085744 -0.180751571
#> X26 -0.0763166399  0.186975651  0.1077512080 -0.175864804 -0.152617325
#> X27  0.1692810321  0.127721314  0.2389205505  0.124281796 -0.025232394
#> X28 -0.1346494724 -0.002532133  0.2407044576 -0.146917387 -0.028675134
#> X29 -0.0541708565  0.066170001 -0.0801860994 -0.087435421  0.203189794
#> X30  0.1539575357 -0.003108428  0.0350475159  0.175793221  0.114874846
#> X31 -0.0445047618 -0.025941005 -0.0190177117 -0.012211977  0.086746469
#> X32  0.1690277857  0.206347639 -0.0496404219  0.071029902 -0.063061754
#> X33 -0.1371251102  0.172037658  0.0334460939 -0.067929480 -0.133130768
#> X34  0.0642745566  0.009599116  0.1495950359  0.117284927 -0.073584696
#> X35  0.1043780710 -0.191709582 -0.0402571519  0.067488185 -0.106163577
#> X36 -0.1440512960  0.132144575  0.1640257675  0.186986620 -0.039927235
#> X37 -0.0461640624  0.008102448  0.0519143557 -0.205754919 -0.237282437
#> X38 -0.0914757845  0.159140323  0.0221947168 -0.127424792  0.090716583
#> X39  0.0128824431 -0.072605740 -0.2661068601  0.112378949 -0.089580255
#> X40  0.0373437453 -0.099958555 -0.1109385581 -0.177822221  0.065928890
#> X41 -0.0018432934 -0.039947231  0.0548899464 -0.029839942  0.065302054
#> X42 -0.0820125644 -0.083701473  0.1549310503 -0.012188269  0.092501165
#> X43  0.1910449277 -0.151274106  0.0853361958 -0.144534741  0.050266388
#> X44  0.0274803237 -0.097993547  0.1719777975 -0.138765164 -0.161265715
#> X45  0.1667595434  0.307761303  0.1007154415 -0.073488232 -0.004398068
#> X46  0.2591417703  0.203164494  0.1778328004 -0.090029251  0.009246361
#> X47 -0.1361614182 -0.040441000  0.1892888073  0.102543508 -0.059964954
#> X48 -0.2134527387 -0.042160107  0.1491557057  0.060396553  0.070817069
#> X49 -0.0084766252  0.248690875  0.0013349851 -0.204888213 -0.012992480
#> X50 -0.0808534775  0.140407485 -0.1487063654  0.080559161 -0.191231073
#> X51 -0.1371839701  0.050565822 -0.0590991023  0.071526321  0.004381162
#> X52  0.0639607928  0.104506798 -0.1484389214 -0.104497494  0.032442222
#> X53  0.0731766023 -0.059625990  0.2124903440  0.027443315  0.217625705
#> X54  0.3173577509  0.108653121  0.0900378904  0.129395390 -0.010993027
#> X55  0.0435880043 -0.266815930 -0.0180582486 -0.090740612  0.167237193
#> X56  0.1799039096  0.026620528  0.1177561923 -0.148540280  0.117900601
#> X57 -0.0295190869  0.021195263 -0.0428921811 -0.074094095  0.140416446
#> X58 -0.1803670691 -0.090437459  0.0001394748  0.167024157  0.228481483
#> X59  0.0019458828 -0.030178917 -0.0129106328  0.075203417 -0.032779316
#> X60  0.1297283982  0.057680337  0.0294067022  0.002080503  0.139172207
#> X61 -0.0264733186 -0.003785042 -0.0128990789  0.032391448 -0.288741500
#> X62  0.0757862166  0.175614734 -0.0418894581 -0.003535664  0.010299516
#> X63  0.0742246520 -0.054444822  0.0101083968 -0.148002325  0.181221445
#> X64  0.1155078854 -0.146566210 -0.0314860854 -0.036996908  0.134702815
#> X65  0.1376827472 -0.046065566 -0.1959737868  0.174660392 -0.046272396
#> X66 -0.1173247120 -0.047503548 -0.0138045715 -0.109362707  0.236538438
#> X67 -0.1349062571  0.085976581 -0.1031676639 -0.096436680  0.250696030
#> X68 -0.1586383521  0.001567525  0.1861977008  0.031808636 -0.025281274
#>           comp 6
#> X1  -0.066412616
#> X2   0.086760070
#> X3  -0.078085693
#> X4  -0.039876440
#> X5  -0.038208967
#> X6   0.188490877
#> X7   0.003830042
#> X8   0.021116807
#> X9   0.022519379
#> X10 -0.070379763
#> X11 -0.113223994
#> X12  0.072623302
#> X13 -0.207305010
#> X14  0.163895247
#> X15  0.160798169
#> X16 -0.159008081
#> X17  0.012700815
#> X18  0.030563817
#> X19  0.110185076
#> X20 -0.166100626
#> X21 -0.034752457
#> X22  0.025765331
#> X23  0.017674310
#> X24 -0.167292219
#> X25 -0.164958756
#> X26 -0.041167961
#> X27  0.029370699
#> X28 -0.041363134
#> X29 -0.171254499
#> X30  0.063228762
#> X31 -0.220371498
#> X32  0.037576100
#> X33  0.138120753
#> X34  0.083925265
#> X35 -0.195475187
#> X36 -0.062531304
#> X37  0.096072970
#> X38  0.079545246
#> X39  0.009641267
#> X40  0.148799722
#> X41 -0.189805710
#> X42 -0.161209414
#> X43  0.119093332
#> X44 -0.083269129
#> X45  0.027325224
#> X46  0.097759267
#> X47 -0.107493777
#> X48 -0.075936093
#> X49 -0.035742876
#> X50 -0.078959381
#> X51 -0.265067373
#> X52 -0.273812008
#> X53 -0.077609867
#> X54 -0.105829846
#> X55  0.228890335
#> X56  0.012374037
#> X57 -0.143096902
#> X58  0.060703657
#> X59 -0.096720438
#> X60 -0.097252067
#> X61 -0.216274402
#> X62 -0.109498366
#> X63 -0.095728878
#> X64  0.035224198
#> X65 -0.010303770
#> X66 -0.141181894
#> X67 -0.100890029
#> X68  0.175934808
#> 
#> $loadings$Y
#>     comp 1   comp 2   comp 3   comp 4    comp 5   comp 6
#> Y 1.627201 1.801419 1.308174 1.969336 0.8656825 1.731821
#> 
#> 
#> $names
#> $names$X
#>  [1] "X1"  "X2"  "X3"  "X4"  "X5"  "X6"  "X7"  "X8"  "X9"  "X10" "X11" "X12"
#> [13] "X13" "X14" "X15" "X16" "X17" "X18" "X19" "X20" "X21" "X22" "X23" "X24"
#> [25] "X25" "X26" "X27" "X28" "X29" "X30" "X31" "X32" "X33" "X34" "X35" "X36"
#> [37] "X37" "X38" "X39" "X40" "X41" "X42" "X43" "X44" "X45" "X46" "X47" "X48"
#> [49] "X49" "X50" "X51" "X52" "X53" "X54" "X55" "X56" "X57" "X58" "X59" "X60"
#> [61] "X61" "X62" "X63" "X64" "X65" "X66" "X67" "X68"
#> 
#> $names$Y
#> [1] "Y"
#> 
#> $names$indiv
#>  [1] "1"  "2"  "3"  "4"  "5"  "6"  "7"  "8"  "9"  "10" "11" "12" "13" "14" "15"
#> [16] "16" "17" "18" "19" "20" "21" "22" "23" "24" "25" "26" "27" "28" "29" "30"
#> [31] "31" "32" "33" "34" "35" "36" "37" "38" "39" "40" "41" "42" "43" "44" "45"
#> [46] "46" "47" "48" "49" "50" "51" "52" "53" "54" "55" "56" "57" "58" "59" "60"
#> [61] "61" "62" "63" "64" "65" "66" "67" "68" "69" "70" "71" "72" "73" "74" "75"
#> [76] "76" "77" "78" "79" "80"
#> 
#> 
#> attr(,"class")
#> [1] "pls"
#> 
#> $XplanScal
#>     D18S61    D17S794    D13S173    D20S107       TP53     D9S171     D8S264 
#>  0.5025253  0.5006325  0.5025253  0.4929888  0.5017375  0.5025253  0.5025253 
#>     D5S346    D22S928     D18S53     D1S225    D3S1282    D15S127     D1S305 
#>  0.5025253  0.4871774  0.5031546  0.5017375  0.5029973  0.5017375  0.4929888 
#>     D1S207     D2S138    D16S422     D9S179    D10S191     D4S394     D1S197 
#>  0.4992082  0.5029973  0.5006325  0.5029973  0.5029973  0.5029973  0.5006325 
#>     D6S264     D14S65    D17S790     D5S430    D3S1283     D4S414     D8S283 
#>  0.5006325  0.4974619  0.4974619  0.5025253  0.5017375  0.5025253  0.5029973 
#>    D11S916     D2S159    D16S408     D6S275    D10S192       sexe    Agediag 
#>  0.5029973  0.4929888  0.4974619  0.5029973  0.4953901  0.4611488 13.5030421 
#>      Siege          T          N          M      STADE 
#>  0.7458747  0.8999824  0.7778581  0.4357447  1.2143003 
#> 
#> $XplanCent
#>   D18S61  D17S794  D13S173  D20S107     TP53   D9S171   D8S264   D5S346 
#>  0.52500  0.45000  0.47500  0.60000  0.53750  0.47500  0.52500  0.47500 
#>  D22S928   D18S53   D1S225  D3S1282  D15S127   D1S305   D1S207   D2S138 
#>  0.37500  0.50000  0.46250  0.51250  0.46250  0.40000  0.43750  0.48750 
#>  D16S422   D9S179  D10S191   D4S394   D1S197   D6S264   D14S65  D17S790 
#>  0.45000  0.51250  0.51250  0.51250  0.45000  0.55000  0.42500  0.42500 
#>   D5S430  D3S1283   D4S414   D8S283  D11S916   D2S159  D16S408   D6S275 
#>  0.47500  0.46250  0.52500  0.51250  0.48750  0.40000  0.57500  0.48750 
#>  D10S192     sexe  Agediag    Siege        T        N        M    STADE 
#>  0.41250  0.70000 64.23634  1.77500  2.51250  0.55000  0.25000  2.36250 
#> 
#> $CoeffCFull
#>          [,1]     [,2]     [,3]     [,4]     [,5]      [,6]
#> [1,] 4.174837 5.141738 4.953290 5.066946 5.005492  3.611556
#> [2,]       NA 6.302176 6.748614 6.410978 6.215928  9.813221
#> [3,]       NA       NA 2.939057 5.140673 5.074204  6.417547
#> [4,]       NA       NA       NA 8.434519 9.491320 14.561687
#> [5,]       NA       NA       NA       NA 2.941170  6.068547
#> [6,]       NA       NA       NA       NA       NA 12.484998
#> 
#> $kernDKsplsDR_mod
#> Gaussian Radial Basis kernel function. 
#>  Hyperparameter : sigma =  0.0121448652011904 
#> 
(cox_DKsplsDR_fit=coxDKsplsDR(~X_train_micro,Y_train_micro,C_train_micro,ncomp=6,
validation="CV",allres=TRUE,eta=.5))
#> Error in model.matrix(mt0, mf0, , contrasts.arg = contrasts.arg): argument "contrasts.arg" is missing, with no default
(cox_DKsplsDR_fit=coxDKsplsDR(~.,Y_train_micro,C_train_micro,ncomp=6,
validation="CV",allres=TRUE,dataXplan=data.frame(X_train_micro),eta=.5))
#> Error in model.matrix(mt0, mf0, , contrasts.arg = contrasts.arg): argument "contrasts.arg" is missing, with no default

rm(X_train_micro,Y_train_micro,C_train_micro,cox_DKsplsDR_fit)