This function computes the Cox Model based on lars variables computed model with

  • as the response: the Residuals of a Cox-Model fitted with no covariate

  • as explanatory variables: Xplan.

It uses the package lars to perform PLSR fit.

larsDR_coxph(Xplan, ...)

# S3 method for default
larsDR_coxph(
  Xplan,
  time,
  time2,
  event,
  type,
  origin,
  typeres = "deviance",
  collapse,
  weighted,
  scaleX = FALSE,
  scaleY = TRUE,
  plot = FALSE,
  typelars = "lasso",
  normalize = TRUE,
  max.steps,
  use.Gram = TRUE,
  allres = FALSE,
  verbose = TRUE,
  ...
)

# S3 method for formula
larsDR_coxph(
  Xplan,
  time,
  time2,
  event,
  type,
  origin,
  typeres = "deviance",
  collapse,
  weighted,
  scaleX = FALSE,
  scaleY = TRUE,
  plot = FALSE,
  typelars = "lasso",
  normalize = TRUE,
  max.steps,
  use.Gram = TRUE,
  allres = FALSE,
  dataXplan = NULL,
  subset,
  weights,
  model_frame = FALSE,
  model_matrix = FALSE,
  verbose = TRUE,
  ...
)

Arguments

Xplan

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

...

Arguments to be passed on to survival::coxph or to lars::lars.

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 ?

plot

Should the survival function be plotted ?)

typelars

One of "lasso", "lar", "forward.stagewise" or "stepwise". The names can be abbreviated to any unique substring. Default is "lasso".

normalize

If TRUE, each variable is standardized to have unit L2 norm, otherwise it is left alone. Default is TRUE.

max.steps

Limit the number of steps taken; the default is 8 * min(m, n-intercept), with m the number of variables, and n the number of samples. For type="lar" or type="stepwise", the maximum number of steps is min(m,n-intercept). For type="lasso" and especially type="forward.stagewise", there can be many more terms, because although no more than min(m,n-intercept) variables can be active during any step, variables are frequently droppped and added as the algorithm proceeds. Although the default usually guarantees that the algorithm has proceeded to the saturated fit, users should check.

use.Gram

When the number m of variables is very large, i.e. larger than N, then you may not want LARS to precompute the Gram matrix. Default is use.Gram=TRUE

allres

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

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 plscox 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 "unweighted" model matrix is returned.

Value

If allres=FALSE :

cox_larsDR

Final Cox-model.

If allres=TRUE :
DR_coxph

The (Deviance) Residuals.

larsDR

The LASSO/LARS model fitted to the (Deviance) Residuals.

X_larsDR

The eXplanatory variables.

cox_larsDR

Final Cox-model.

Details

This function computes the LASSO/LARS model with the Residuals of a Cox-Model fitted with an intercept as the only explanatory variable as the response and Xplan as explanatory variables. Default behaviour uses the Deviance residuals.

If allres=FALSE returns only the final Cox-model. If allres=TRUE returns a list with the (Deviance) Residuals, the LASSO/LARS model fitted to the (Deviance) Residuals, the eXplanatory variables and the final Cox-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

Author

Frédéric Bertrand
frederic.bertrand@math.unistra.fr
http://www-irma.u-strasbg.fr/~fbertran/

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_larsDR_fit <- larsDR_coxph(X_train_micro,Y_train_micro,C_train_micro,max.steps=6, use.Gram=FALSE,scaleX=TRUE))
#> Loaded lars 1.2
#> Call: #> coxph(formula = YCsurv ~ ., data = X_larsDR) #> #> coef exp(coef) se(coef) z p #> D20S107 0.6263 1.8706 0.4316 1.451 0.146794 #> D3S1282 -0.2857 0.7515 0.4547 -0.628 0.529826 #> D15S127 0.9521 2.5911 0.3834 2.483 0.013027 #> D2S138 -1.3850 0.2503 0.4197 -3.300 0.000967 #> D16S408 -0.7357 0.4792 0.3880 -1.896 0.057930 #> N 0.4274 1.5332 0.2675 1.598 0.110118 #> #> Likelihood ratio test=31.8 on 6 df, p=1.784e-05 #> n= 80, number of events= 17
(cox_larsDR_fit <- larsDR_coxph(~X_train_micro,Y_train_micro,C_train_micro,max.steps=6, use.Gram=FALSE,scaleX=TRUE))
#> Warning: non-list contrasts argument ignored
#> Loaded lars 1.2
#> Call: #> coxph(formula = YCsurv ~ ., data = X_larsDR) #> #> coef exp(coef) se(coef) z p #> X_train_microD20S107 0.6263 1.8706 0.4316 1.451 0.146794 #> X_train_microD3S1282 -0.2857 0.7515 0.4547 -0.628 0.529826 #> X_train_microD15S127 0.9521 2.5911 0.3834 2.483 0.013027 #> X_train_microD2S138 -1.3850 0.2503 0.4197 -3.300 0.000967 #> X_train_microD16S408 -0.7357 0.4792 0.3880 -1.896 0.057930 #> X_train_microN 0.4274 1.5332 0.2675 1.598 0.110118 #> #> Likelihood ratio test=31.8 on 6 df, p=1.784e-05 #> n= 80, number of events= 17
(cox_larsDR_fit <- larsDR_coxph(~.,Y_train_micro,C_train_micro,max.steps=6, use.Gram=FALSE,scaleX=TRUE,dataXplan=X_train_micro_df))
#> Warning: non-list contrasts argument ignored
#> Loaded lars 1.2
#> Call: #> coxph(formula = YCsurv ~ ., data = X_larsDR) #> #> coef exp(coef) se(coef) z p #> D20S107 0.6263 1.8706 0.4316 1.451 0.146794 #> D3S1282 -0.2857 0.7515 0.4547 -0.628 0.529826 #> D15S127 0.9521 2.5911 0.3834 2.483 0.013027 #> D2S138 -1.3850 0.2503 0.4197 -3.300 0.000967 #> D16S408 -0.7357 0.4792 0.3880 -1.896 0.057930 #> N 0.4274 1.5332 0.2675 1.598 0.110118 #> #> Likelihood ratio test=31.8 on 6 df, p=1.784e-05 #> n= 80, number of events= 17
larsDR_coxph(~X_train_micro,Y_train_micro,C_train_micro,max.steps=6,use.Gram=FALSE)
#> Warning: non-list contrasts argument ignored
#> Loaded lars 1.2
#> Call: #> coxph(formula = YCsurv ~ ., data = X_larsDR) #> #> coef exp(coef) se(coef) z p #> X_train_microD20S107 1.27033 3.56204 0.87552 1.451 0.146794 #> X_train_microD3S1282 -0.56794 0.56669 0.90398 -0.628 0.529826 #> X_train_microD15S127 1.89761 6.66992 0.76423 2.483 0.013027 #> X_train_microD2S138 -2.75342 0.06371 0.83440 -3.300 0.000967 #> X_train_microD16S408 -1.47895 0.22788 0.77994 -1.896 0.057930 #> X_train_microN 0.54943 1.73227 0.34390 1.598 0.110118 #> #> Likelihood ratio test=31.8 on 6 df, p=1.784e-05 #> n= 80, number of events= 17
larsDR_coxph(~X_train_micro,Y_train_micro,C_train_micro,max.steps=6,use.Gram=FALSE,scaleX=FALSE)
#> Warning: non-list contrasts argument ignored
#> Loaded lars 1.2
#> Call: #> coxph(formula = YCsurv ~ ., data = X_larsDR) #> #> coef exp(coef) se(coef) z p #> X_train_microD20S107 1.27033 3.56204 0.87552 1.451 0.146794 #> X_train_microD3S1282 -0.56794 0.56669 0.90398 -0.628 0.529826 #> X_train_microD15S127 1.89761 6.66992 0.76423 2.483 0.013027 #> X_train_microD2S138 -2.75342 0.06371 0.83440 -3.300 0.000967 #> X_train_microD16S408 -1.47895 0.22788 0.77994 -1.896 0.057930 #> X_train_microN 0.54943 1.73227 0.34390 1.598 0.110118 #> #> Likelihood ratio test=31.8 on 6 df, p=1.784e-05 #> n= 80, number of events= 17
larsDR_coxph(~X_train_micro,Y_train_micro,C_train_micro,max.steps=6,use.Gram=FALSE, scaleX=TRUE,allres=TRUE)
#> Warning: non-list contrasts argument ignored
#> Loaded lars 1.2
#> $DR_coxph #> 1 2 3 4 5 6 #> -1.48432960 -0.54695398 -0.23145502 -0.34003013 -0.97633722 -0.38667660 #> 7 8 9 10 11 12 #> -0.38667660 1.57418914 -0.54695398 -0.15811388 2.10405254 -0.23145502 #> 13 14 15 16 17 18 #> -0.38667660 -1.09692040 -0.15811388 -0.15811388 -0.54695398 -0.38667660 #> 19 20 21 22 23 24 #> 0.65978609 -1.09692040 -0.43627414 -0.28961087 -0.38667660 -0.97633722 #> 25 26 27 28 29 30 #> -1.09692040 -0.15811388 -0.43627414 -0.43627414 -0.38667660 -0.23145502 #> 31 32 33 34 35 36 #> 2.30072697 -0.49023986 -0.54695398 -0.73444882 1.31082939 -0.97633722 #> 37 38 39 40 41 42 #> 1.70134282 -0.54695398 -0.15811388 1.07714870 -0.15811388 -0.49023986 #> 43 44 45 46 47 48 #> -0.34003013 -0.97633722 -0.15811388 -0.91410465 -1.09692040 -0.43627414 #> 49 50 51 52 53 54 #> -0.38667660 -0.09836581 -0.79392956 0.46851068 -0.34003013 1.95366297 #> 55 56 57 58 59 60 #> 2.60558118 -0.54695398 -1.09692040 -0.15811388 -0.49023986 -0.97633722 #> 61 62 63 64 65 66 #> -0.28961087 1.44879795 1.82660327 -0.38667660 0.96936094 -0.15811388 #> 67 68 69 70 71 72 #> -0.43627414 -0.49023986 1.18850436 -0.97633722 -0.97633722 0.86322194 #> 73 74 75 76 77 78 #> -0.43627414 -0.49023986 -0.38667660 0.76231394 -0.97633722 -0.43627414 #> 79 80 #> -0.54695398 -0.43627414 #> #> $larsDR #> #> Call: #> lars(x = structure(c(-1.04472358469648, -1.04472358469648, -1.04472358469648, #> 0.945226100439668, 0.945226100439668, 0.945226100439668, 0.945226100439668, #> 0.945226100439668, -1.04472358469648, -1.04472358469648, -1.04472358469648, #> -1.04472358469648, -1.04472358469648, 0.945226100439668, -1.04472358469648, #> 0.945226100439668, -1.04472358469648, -1.04472358469648, 0.945226100439668, #> 0.945226100439668, 0.945226100439668, -1.04472358469648, -1.04472358469648, #> 0.945226100439668, 0.945226100439668, -1.04472358469648, -1.04472358469648, #> -1.04472358469648, -1.04472358469648, -1.04472358469648, -1.04472358469648, #> -1.04472358469648, 0.945226100439668, 0.945226100439668, 0.945226100439668, #> -1.04472358469648, 0.945226100439668, -1.04472358469648, -1.04472358469648, #> 0.945226100439668, 0.945226100439668, -1.04472358469648, 0.945226100439668, #> -1.04472358469648, -1.04472358469648, 0.945226100439668, -1.04472358469648, #> -1.04472358469648, -1.04472358469648, -1.04472358469648, 0.945226100439668, #> -1.04472358469648, -1.04472358469648, 0.945226100439668, 0.945226100439668, #> 0.945226100439668, 0.945226100439668, 0.945226100439668, 0.945226100439668, #> 0.945226100439668, 0.945226100439668, -1.04472358469648, 0.945226100439668, #> -1.04472358469648, -1.04472358469648, -1.04472358469648, -1.04472358469648, #> 0.945226100439668, 0.945226100439668, 0.945226100439668, 0.945226100439668, #> 0.945226100439668, -1.04472358469648, 0.945226100439668, 0.945226100439668, #> 0.945226100439668, 0.945226100439668, 0.945226100439668, 0.945226100439668, #> 0.945226100439668, -0.898862918055109, -0.898862918055109, -0.898862918055109, #> 1.09861023317847, -0.898862918055109, -0.898862918055109, -0.898862918055109, #> -0.898862918055109, -0.898862918055109, -0.898862918055109, -0.898862918055109, #> 1.09861023317847, 1.09861023317847, -0.898862918055109, 1.09861023317847, #> -0.898862918055109, 1.09861023317847, -0.898862918055109, 1.09861023317847, #> -0.898862918055109, -0.898862918055109, -0.898862918055109, 1.09861023317847, #> -0.898862918055109, -0.898862918055109, -0.898862918055109, 1.09861023317847, #> 1.09861023317847, 1.09861023317847, 1.09861023317847, -0.898862918055109, #> 1.09861023317847, 1.09861023317847, 1.09861023317847, 1.09861023317847, #> 1.09861023317847, -0.898862918055109, 1.09861023317847, -0.898862918055109, #> 1.09861023317847, 1.09861023317847, 1.09861023317847, 1.09861023317847, #> -0.898862918055109, -0.898862918055109, -0.898862918055109, -0.898862918055109, #> -0.898862918055109, -0.898862918055109, 1.09861023317847, 1.09861023317847, #> -0.898862918055109, 1.09861023317847, -0.898862918055109, -0.898862918055109, #> 1.09861023317847, 1.09861023317847, -0.898862918055109, -0.898862918055109, #> 1.09861023317847, 1.09861023317847, 1.09861023317847, 1.09861023317847, #> -0.898862918055109, -0.898862918055109, -0.898862918055109, 1.09861023317847, #> -0.898862918055109, -0.898862918055109, -0.898862918055109, 1.09861023317847, #> 1.09861023317847, -0.898862918055109, -0.898862918055109, -0.898862918055109, #> -0.898862918055109, 1.09861023317847, 1.09861023317847, 1.09861023317847, #> -0.898862918055109, -0.945226100439668, 1.04472358469648, -0.945226100439668, #> 1.04472358469648, -0.945226100439668, -0.945226100439668, 1.04472358469648, #> 1.04472358469648, -0.945226100439668, -0.945226100439668, 1.04472358469648, #> 1.04472358469648, 1.04472358469648, 1.04472358469648, -0.945226100439668, #> -0.945226100439668, 1.04472358469648, -0.945226100439668, -0.945226100439668, #> 1.04472358469648, -0.945226100439668, 1.04472358469648, -0.945226100439668, #> -0.945226100439668, -0.945226100439668, 1.04472358469648, 1.04472358469648, #> -0.945226100439668, -0.945226100439668, 1.04472358469648, -0.945226100439668, #> 1.04472358469648, -0.945226100439668, 1.04472358469648, -0.945226100439668, #> -0.945226100439668, -0.945226100439668, -0.945226100439668, -0.945226100439668, #> -0.945226100439668, 1.04472358469648, -0.945226100439668, 1.04472358469648, #> -0.945226100439668, 1.04472358469648, -0.945226100439668, -0.945226100439668, #> 1.04472358469648, -0.945226100439668, 1.04472358469648, 1.04472358469648, #> -0.945226100439668, -0.945226100439668, 1.04472358469648, -0.945226100439668, #> -0.945226100439668, -0.945226100439668, 1.04472358469648, 1.04472358469648, #> -0.945226100439668, 1.04472358469648, 1.04472358469648, -0.945226100439668, #> 1.04472358469648, 1.04472358469648, -0.945226100439668, 1.04472358469648, #> -0.945226100439668, 1.04472358469648, 1.04472358469648, 1.04472358469648, #> -0.945226100439668, 1.04472358469648, 1.04472358469648, 1.04472358469648, #> -0.945226100439668, 1.04472358469648, -0.945226100439668, 1.04472358469648, #> -0.945226100439668, -1.21706614446381, 0.811377429642539, 0.811377429642539, #> 0.811377429642539, 0.811377429642539, 0.811377429642539, -1.21706614446381, #> 0.811377429642539, -1.21706614446381, 0.811377429642539, 0.811377429642539, #> 0.811377429642539, 0.811377429642539, 0.811377429642539, -1.21706614446381, #> -1.21706614446381, -1.21706614446381, -1.21706614446381, 0.811377429642539, #> -1.21706614446381, -1.21706614446381, -1.21706614446381, -1.21706614446381, #> 0.811377429642539, -1.21706614446381, -1.21706614446381, 0.811377429642539, #> -1.21706614446381, -1.21706614446381, -1.21706614446381, 0.811377429642539, #> -1.21706614446381, -1.21706614446381, 0.811377429642539, 0.811377429642539, #> 0.811377429642539, 0.811377429642539, 0.811377429642539, -1.21706614446381, #> -1.21706614446381, 0.811377429642539, -1.21706614446381, -1.21706614446381, #> -1.21706614446381, -1.21706614446381, 0.811377429642539, 0.811377429642539, #> 0.811377429642539, 0.811377429642539, 0.811377429642539, 0.811377429642539, #> -1.21706614446381, -1.21706614446381, 0.811377429642539, 0.811377429642539, #> -1.21706614446381, -1.21706614446381, 0.811377429642539, 0.811377429642539, #> 0.811377429642539, 0.811377429642539, 0.811377429642539, 0.811377429642539, #> 0.811377429642539, 0.811377429642539, 0.811377429642539, -1.21706614446381, #> -1.21706614446381, 0.811377429642539, -1.21706614446381, 0.811377429642539, #> 0.811377429642539, 0.811377429642539, 0.811377429642539, 0.811377429642539, #> 0.811377429642539, 0.811377429642539, 0.811377429642539, 0.811377429642539, #> -1.21706614446381, 0.921796779298768, -1.07127733810397, -1.07127733810397, #> 0.921796779298768, 0.921796779298768, -1.07127733810397, 0.921796779298768, #> -1.07127733810397, -1.07127733810397, 0.921796779298768, 0.921796779298768, #> 0.921796779298768, -1.07127733810397, -1.07127733810397, 0.921796779298768, #> -1.07127733810397, -1.07127733810397, -1.07127733810397, 0.921796779298768, #> 0.921796779298768, -1.07127733810397, -1.07127733810397, -1.07127733810397, #> 0.921796779298768, -1.07127733810397, 0.921796779298768, -1.07127733810397, #> -1.07127733810397, -1.07127733810397, 0.921796779298768, 0.921796779298768, #> 0.921796779298768, -1.07127733810397, 0.921796779298768, 0.921796779298768, #> 0.921796779298768, 0.921796779298768, -1.07127733810397, -1.07127733810397, #> -1.07127733810397, -1.07127733810397, 0.921796779298768, 0.921796779298768, #> -1.07127733810397, -1.07127733810397, -1.07127733810397, -1.07127733810397, #> 0.921796779298768, -1.07127733810397, 0.921796779298768, 0.921796779298768, #> -1.07127733810397, -1.07127733810397, 0.921796779298768, -1.07127733810397, #> 0.921796779298768, 0.921796779298768, 0.921796779298768, 0.921796779298768, #> 0.921796779298768, 0.921796779298768, 0.921796779298768, 0.921796779298768, #> -1.07127733810397, -1.07127733810397, 0.921796779298768, -1.07127733810397, #> 0.921796779298768, 0.921796779298768, 0.921796779298768, 0.921796779298768, #> -1.07127733810397, 0.921796779298768, 0.921796779298768, -1.07127733810397, #> 0.921796779298768, 0.921796779298768, -1.07127733810397, 0.921796779298768, #> -1.07127733810397, -0.945226100439668, -0.945226100439668, 1.04472358469648, #> 1.04472358469648, 1.04472358469648, 1.04472358469648, -0.945226100439668, #> 1.04472358469648, -0.945226100439668, -0.945226100439668, 1.04472358469648, #> 1.04472358469648, 1.04472358469648, -0.945226100439668, 1.04472358469648, #> -0.945226100439668, 1.04472358469648, 1.04472358469648, 1.04472358469648, #> -0.945226100439668, -0.945226100439668, -0.945226100439668, -0.945226100439668, #> -0.945226100439668, 1.04472358469648, 1.04472358469648, 1.04472358469648, #> 1.04472358469648, 1.04472358469648, 1.04472358469648, -0.945226100439668, #> -0.945226100439668, -0.945226100439668, -0.945226100439668, -0.945226100439668, #> -0.945226100439668, 1.04472358469648, 1.04472358469648, -0.945226100439668, #> -0.945226100439668, 1.04472358469648, 1.04472358469648, 1.04472358469648, #> -0.945226100439668, 1.04472358469648, 1.04472358469648, 1.04472358469648, #> 1.04472358469648, -0.945226100439668, -0.945226100439668, 1.04472358469648, #> -0.945226100439668, -0.945226100439668, 1.04472358469648, -0.945226100439668, #> -0.945226100439668, -0.945226100439668, -0.945226100439668, 1.04472358469648, #> 1.04472358469648, 1.04472358469648, -0.945226100439668, -0.945226100439668, #> -0.945226100439668, -0.945226100439668, -0.945226100439668, 1.04472358469648, #> -0.945226100439668, -0.945226100439668, 1.04472358469648, 1.04472358469648, #> 1.04472358469648, -0.945226100439668, 1.04472358469648, -0.945226100439668, #> 1.04472358469648, -0.945226100439668, -0.945226100439668, -0.945226100439668, #> -0.945226100439668, 0.945226100439668, -1.04472358469648, 0.945226100439668, #> -1.04472358469648, 0.945226100439668, -1.04472358469648, 0.945226100439668, #> 0.945226100439668, -1.04472358469648, -1.04472358469648, 0.945226100439668, #> 0.945226100439668, -1.04472358469648, 0.945226100439668, -1.04472358469648, #> -1.04472358469648, -1.04472358469648, -1.04472358469648, 0.945226100439668, #> 0.945226100439668, -1.04472358469648, 0.945226100439668, -1.04472358469648, #> 0.945226100439668, 0.945226100439668, 0.945226100439668, -1.04472358469648, #> 0.945226100439668, -1.04472358469648, 0.945226100439668, 0.945226100439668, #> 0.945226100439668, -1.04472358469648, 0.945226100439668, -1.04472358469648, #> 0.945226100439668, 0.945226100439668, 0.945226100439668, -1.04472358469648, #> 0.945226100439668, -1.04472358469648, 0.945226100439668, 0.945226100439668, #> -1.04472358469648, -1.04472358469648, 0.945226100439668, -1.04472358469648, #> -1.04472358469648, -1.04472358469648, -1.04472358469648, -1.04472358469648, #> -1.04472358469648, -1.04472358469648, -1.04472358469648, -1.04472358469648, #> -1.04472358469648, 0.945226100439668, -1.04472358469648, 0.945226100439668, #> 0.945226100439668, 0.945226100439668, -1.04472358469648, -1.04472358469648, #> -1.04472358469648, -1.04472358469648, 0.945226100439668, 0.945226100439668, #> -1.04472358469648, 0.945226100439668, 0.945226100439668, 0.945226100439668, #> 0.945226100439668, -1.04472358469648, 0.945226100439668, 0.945226100439668, #> 0.945226100439668, 0.945226100439668, 0.945226100439668, 0.945226100439668, #> -1.04472358469648, -0.945226100439668, -0.945226100439668, -0.945226100439668, #> 1.04472358469648, -0.945226100439668, 1.04472358469648, 1.04472358469648, #> 1.04472358469648, -0.945226100439668, -0.945226100439668, 1.04472358469648, #> 1.04472358469648, -0.945226100439668, 1.04472358469648, -0.945226100439668, #> -0.945226100439668, -0.945226100439668, -0.945226100439668, -0.945226100439668, #> 1.04472358469648, -0.945226100439668, -0.945226100439668, -0.945226100439668, #> 1.04472358469648, 1.04472358469648, 1.04472358469648, -0.945226100439668, #> -0.945226100439668, -0.945226100439668, 1.04472358469648, -0.945226100439668, #> 1.04472358469648, -0.945226100439668, 1.04472358469648, -0.945226100439668, #> 1.04472358469648, -0.945226100439668, -0.945226100439668, 1.04472358469648, #> -0.945226100439668, -0.945226100439668, -0.945226100439668, -0.945226100439668, #> -0.945226100439668, 1.04472358469648, 1.04472358469648, 1.04472358469648, #> 1.04472358469648, -0.945226100439668, 1.04472358469648, -0.945226100439668, #> -0.945226100439668, -0.945226100439668, -0.945226100439668, -0.945226100439668, #> -0.945226100439668, -0.945226100439668, 1.04472358469648, 1.04472358469648, #> 1.04472358469648, -0.945226100439668, -0.945226100439668, 1.04472358469648, #> -0.945226100439668, -0.945226100439668, 1.04472358469648, 1.04472358469648, #> 1.04472358469648, -0.945226100439668, 1.04472358469648, 1.04472358469648, #> 1.04472358469648, -0.945226100439668, 1.04472358469648, 1.04472358469648, #> 1.04472358469648, 1.04472358469648, 1.04472358469648, 1.04472358469648, #> 1.04472358469648, -0.769740215917033, -0.769740215917033, 1.28290035986172, #> 1.28290035986172, -0.769740215917033, 1.28290035986172, 1.28290035986172, #> 1.28290035986172, -0.769740215917033, -0.769740215917033, -0.769740215917033, #> 1.28290035986172, -0.769740215917033, 1.28290035986172, -0.769740215917033, #> -0.769740215917033, -0.769740215917033, -0.769740215917033, -0.769740215917033, #> 1.28290035986172, -0.769740215917033, -0.769740215917033, 1.28290035986172, #> 1.28290035986172, 1.28290035986172, 1.28290035986172, -0.769740215917033, #> 1.28290035986172, -0.769740215917033, -0.769740215917033, -0.769740215917033, #> 1.28290035986172, -0.769740215917033, -0.769740215917033, 1.28290035986172, #> -0.769740215917033, -0.769740215917033, -0.769740215917033, -0.769740215917033, #> 1.28290035986172, 1.28290035986172, 1.28290035986172, -0.769740215917033, #> 1.28290035986172, -0.769740215917033, 1.28290035986172, -0.769740215917033, #> -0.769740215917033, -0.769740215917033, -0.769740215917033, -0.769740215917033, #> -0.769740215917033, -0.769740215917033, -0.769740215917033, -0.769740215917033, #> 1.28290035986172, -0.769740215917033, -0.769740215917033, 1.28290035986172, #> 1.28290035986172, 1.28290035986172, -0.769740215917033, 1.28290035986172, #> -0.769740215917033, -0.769740215917033, 1.28290035986172, 1.28290035986172, #> -0.769740215917033, -0.769740215917033, 1.28290035986172, -0.769740215917033, #> -0.769740215917033, -0.769740215917033, -0.769740215917033, -0.769740215917033, #> -0.769740215917033, 1.28290035986172, -0.769740215917033, 1.28290035986172, #> -0.769740215917033, 0.99373034571759, -0.99373034571759, 0.99373034571759, #> -0.99373034571759, 0.99373034571759, -0.99373034571759, 0.99373034571759, #> 0.99373034571759, 0.99373034571759, 0.99373034571759, 0.99373034571759, #> 0.99373034571759, 0.99373034571759, -0.99373034571759, 0.99373034571759, #> -0.99373034571759, -0.99373034571759, -0.99373034571759, 0.99373034571759, #> -0.99373034571759, -0.99373034571759, 0.99373034571759, -0.99373034571759, #> -0.99373034571759, 0.99373034571759, -0.99373034571759, 0.99373034571759, #> 0.99373034571759, -0.99373034571759, -0.99373034571759, -0.99373034571759, #> -0.99373034571759, -0.99373034571759, -0.99373034571759, -0.99373034571759, #> 0.99373034571759, 0.99373034571759, -0.99373034571759, -0.99373034571759, #> 0.99373034571759, -0.99373034571759, 0.99373034571759, -0.99373034571759, #> -0.99373034571759, -0.99373034571759, 0.99373034571759, -0.99373034571759, #> -0.99373034571759, 0.99373034571759, 0.99373034571759, 0.99373034571759, #> -0.99373034571759, 0.99373034571759, -0.99373034571759, -0.99373034571759, #> -0.99373034571759, -0.99373034571759, -0.99373034571759, 0.99373034571759, #> 0.99373034571759, 0.99373034571759, 0.99373034571759, 0.99373034571759, #> -0.99373034571759, -0.99373034571759, 0.99373034571759, 0.99373034571759, #> 0.99373034571759, 0.99373034571759, -0.99373034571759, 0.99373034571759, #> 0.99373034571759, -0.99373034571759, 0.99373034571759, 0.99373034571759, #> 0.99373034571759, -0.99373034571759, 0.99373034571759, -0.99373034571759, #> -0.99373034571759, 1.07127733810397, -0.921796779298768, -0.921796779298768, #> 1.07127733810397, -0.921796779298768, 1.07127733810397, 1.07127733810397, #> -0.921796779298768, 1.07127733810397, -0.921796779298768, 1.07127733810397, #> 1.07127733810397, 1.07127733810397, -0.921796779298768, 1.07127733810397, #> -0.921796779298768, 1.07127733810397, 1.07127733810397, 1.07127733810397, #> -0.921796779298768, -0.921796779298768, -0.921796779298768, -0.921796779298768, #> -0.921796779298768, 1.07127733810397, 1.07127733810397, 1.07127733810397, #> -0.921796779298768, 1.07127733810397, -0.921796779298768, -0.921796779298768, #> -0.921796779298768, 1.07127733810397, 1.07127733810397, -0.921796779298768, #> -0.921796779298768, -0.921796779298768, 1.07127733810397, 1.07127733810397, #> -0.921796779298768, -0.921796779298768, 1.07127733810397, -0.921796779298768, #> -0.921796779298768, 1.07127733810397, -0.921796779298768, -0.921796779298768, #> 1.07127733810397, 1.07127733810397, 1.07127733810397, 1.07127733810397, #> -0.921796779298768, 1.07127733810397, -0.921796779298768, -0.921796779298768, #> 1.07127733810397, 1.07127733810397, 1.07127733810397, -0.921796779298768, #> 1.07127733810397, -0.921796779298768, 1.07127733810397, -0.921796779298768, #> -0.921796779298768, 1.07127733810397, -0.921796779298768, -0.921796779298768, #> -0.921796779298768, -0.921796779298768, 1.07127733810397, -0.921796779298768, #> -0.921796779298768, 1.07127733810397, -0.921796779298768, -0.921796779298768, #> -0.921796779298768, 1.07127733810397, -0.921796779298768, -0.921796779298768, #> 1.07127733810397, -1.01889205789476, 0.969190006290141, -1.01889205789476, #> -1.01889205789476, -1.01889205789476, 0.969190006290141, -1.01889205789476, #> -1.01889205789476, 0.969190006290141, -1.01889205789476, -1.01889205789476, #> 0.969190006290141, 0.969190006290141, 0.969190006290141, 0.969190006290141, #> 0.969190006290141, 0.969190006290141, 0.969190006290141, 0.969190006290141, #> 0.969190006290141, -1.01889205789476, 0.969190006290141, -1.01889205789476, #> -1.01889205789476, 0.969190006290141, -1.01889205789476, -1.01889205789476, #> -1.01889205789476, 0.969190006290141, 0.969190006290141, -1.01889205789476, #> 0.969190006290141, 0.969190006290141, 0.969190006290141, -1.01889205789476, #> -1.01889205789476, -1.01889205789476, 0.969190006290141, 0.969190006290141, #> 0.969190006290141, 0.969190006290141, -1.01889205789476, 0.969190006290141, #> -1.01889205789476, 0.969190006290141, -1.01889205789476, -1.01889205789476, #> 0.969190006290141, -1.01889205789476, -1.01889205789476, 0.969190006290141, #> -1.01889205789476, 0.969190006290141, -1.01889205789476, -1.01889205789476, #> -1.01889205789476, 0.969190006290141, 0.969190006290141, -1.01889205789476, #> 0.969190006290141, -1.01889205789476, -1.01889205789476, -1.01889205789476, #> -1.01889205789476, -1.01889205789476, -1.01889205789476, 0.969190006290141, #> 0.969190006290141, -1.01889205789476, 0.969190006290141, -1.01889205789476, #> 0.969190006290141, -1.01889205789476, 0.969190006290141, 0.969190006290141, #> -1.01889205789476, 0.969190006290141, 0.969190006290141, 0.969190006290141, #> 0.969190006290141, -0.921796779298768, -0.921796779298768, -0.921796779298768, #> 1.07127733810397, 1.07127733810397, 1.07127733810397, 1.07127733810397, #> -0.921796779298768, -0.921796779298768, -0.921796779298768, 1.07127733810397, #> 1.07127733810397, -0.921796779298768, 1.07127733810397, -0.921796779298768, #> 1.07127733810397, -0.921796779298768, -0.921796779298768, -0.921796779298768, #> -0.921796779298768, 1.07127733810397, 1.07127733810397, -0.921796779298768, #> 1.07127733810397, -0.921796779298768, 1.07127733810397, 1.07127733810397, #> 1.07127733810397, 1.07127733810397, 1.07127733810397, 1.07127733810397, #> 1.07127733810397, -0.921796779298768, -0.921796779298768, 1.07127733810397, #> -0.921796779298768, 1.07127733810397, 1.07127733810397, 1.07127733810397, #> 1.07127733810397, 1.07127733810397, -0.921796779298768, 1.07127733810397, #> 1.07127733810397, -0.921796779298768, 1.07127733810397, -0.921796779298768, #> -0.921796779298768, 1.07127733810397, -0.921796779298768, -0.921796779298768, #> -0.921796779298768, -0.921796779298768, 1.07127733810397, 1.07127733810397, #> -0.921796779298768, -0.921796779298768, 1.07127733810397, 1.07127733810397, #> 1.07127733810397, -0.921796779298768, -0.921796779298768, 1.07127733810397, #> -0.921796779298768, -0.921796779298768, -0.921796779298768, -0.921796779298768, #> -0.921796779298768, -0.921796779298768, -0.921796779298768, 1.07127733810397, #> 1.07127733810397, -0.921796779298768, -0.921796779298768, -0.921796779298768, #> 1.07127733810397, -0.921796779298768, -0.921796779298768, -0.921796779298768, #> -0.921796779298768, -0.811377429642539, -0.811377429642539, -0.811377429642539, #> -0.811377429642539, -0.811377429642539, 1.21706614446381, 1.21706614446381, #> -0.811377429642539, 1.21706614446381, -0.811377429642539, 1.21706614446381, #> -0.811377429642539, -0.811377429642539, 1.21706614446381, -0.811377429642539, #> -0.811377429642539, 1.21706614446381, -0.811377429642539, 1.21706614446381, #> 1.21706614446381, -0.811377429642539, -0.811377429642539, -0.811377429642539, #> -0.811377429642539, 1.21706614446381, 1.21706614446381, -0.811377429642539, #> -0.811377429642539, 1.21706614446381, 1.21706614446381, -0.811377429642539, #> -0.811377429642539, 1.21706614446381, 1.21706614446381, -0.811377429642539, #> 1.21706614446381, -0.811377429642539, -0.811377429642539, 1.21706614446381, #> -0.811377429642539, -0.811377429642539, -0.811377429642539, -0.811377429642539, #> -0.811377429642539, 1.21706614446381, -0.811377429642539, -0.811377429642539, #> -0.811377429642539, -0.811377429642539, 1.21706614446381, 1.21706614446381, #> -0.811377429642539, -0.811377429642539, -0.811377429642539, -0.811377429642539, #> -0.811377429642539, 1.21706614446381, 1.21706614446381, -0.811377429642539, #> 1.21706614446381, 1.21706614446381, -0.811377429642539, -0.811377429642539, #> -0.811377429642539, 1.21706614446381, 1.21706614446381, -0.811377429642539, #> 1.21706614446381, 1.21706614446381, 1.21706614446381, -0.811377429642539, #> 1.21706614446381, 1.21706614446381, -0.811377429642539, -0.811377429642539, #> -0.811377429642539, 1.21706614446381, -0.811377429642539, 1.21706614446381, #> -0.811377429642539, 1.12678429929728, -0.876387788342327, -0.876387788342327, #> 1.12678429929728, 1.12678429929728, -0.876387788342327, 1.12678429929728, #> 1.12678429929728, 1.12678429929728, -0.876387788342327, 1.12678429929728, #> -0.876387788342327, -0.876387788342327, -0.876387788342327, 1.12678429929728, #> 1.12678429929728, -0.876387788342327, 1.12678429929728, 1.12678429929728, #> 1.12678429929728, -0.876387788342327, -0.876387788342327, -0.876387788342327, #> -0.876387788342327, -0.876387788342327, -0.876387788342327, -0.876387788342327, #> -0.876387788342327, -0.876387788342327, -0.876387788342327, -0.876387788342327, #> -0.876387788342327, -0.876387788342327, -0.876387788342327, -0.876387788342327, #> -0.876387788342327, 1.12678429929728, -0.876387788342327, -0.876387788342327, #> 1.12678429929728, 1.12678429929728, 1.12678429929728, -0.876387788342327, #> -0.876387788342327, 1.12678429929728, 1.12678429929728, -0.876387788342327, #> 1.12678429929728, 1.12678429929728, 1.12678429929728, 1.12678429929728, #> -0.876387788342327, 1.12678429929728, -0.876387788342327, 1.12678429929728, #> 1.12678429929728, -0.876387788342327, -0.876387788342327, 1.12678429929728, #> -0.876387788342327, -0.876387788342327, -0.876387788342327, 1.12678429929728, #> -0.876387788342327, 1.12678429929728, -0.876387788342327, -0.876387788342327, #> 1.12678429929728, 1.12678429929728, 1.12678429929728, 1.12678429929728, #> 1.12678429929728, -0.876387788342327, -0.876387788342327, 1.12678429929728, #> 1.12678429929728, -0.876387788342327, -0.876387788342327, -0.876387788342327, #> -0.876387788342327, 1.01889205789476, -0.969190006290141, -0.969190006290141, #> 1.01889205789476, 1.01889205789476, 1.01889205789476, 1.01889205789476, #> -0.969190006290141, 1.01889205789476, -0.969190006290141, 1.01889205789476, #> 1.01889205789476, -0.969190006290141, 1.01889205789476, -0.969190006290141, #> 1.01889205789476, 1.01889205789476, 1.01889205789476, -0.969190006290141, #> 1.01889205789476, 1.01889205789476, 1.01889205789476, -0.969190006290141, #> 1.01889205789476, 1.01889205789476, 1.01889205789476, -0.969190006290141, #> -0.969190006290141, -0.969190006290141, 1.01889205789476, -0.969190006290141, #> -0.969190006290141, -0.969190006290141, -0.969190006290141, -0.969190006290141, #> -0.969190006290141, 1.01889205789476, 1.01889205789476, 1.01889205789476, #> 1.01889205789476, 1.01889205789476, -0.969190006290141, 1.01889205789476, #> 1.01889205789476, 1.01889205789476, 1.01889205789476, 1.01889205789476, #> 1.01889205789476, 1.01889205789476, -0.969190006290141, -0.969190006290141, #> -0.969190006290141, -0.969190006290141, -0.969190006290141, -0.969190006290141, #> -0.969190006290141, -0.969190006290141, -0.969190006290141, 1.01889205789476, #> -0.969190006290141, -0.969190006290141, -0.969190006290141, -0.969190006290141, #> 1.01889205789476, -0.969190006290141, -0.969190006290141, 1.01889205789476, #> 1.01889205789476, -0.969190006290141, -0.969190006290141, 1.01889205789476, #> -0.969190006290141, -0.969190006290141, 1.01889205789476, -0.969190006290141, #> 1.01889205789476, -0.969190006290141, -0.969190006290141, -0.969190006290141, #> 1.01889205789476, 1.09861023317847, -0.898862918055109, -0.898862918055109, #> -0.898862918055109, 1.09861023317847, 1.09861023317847, -0.898862918055109, #> -0.898862918055109, -0.898862918055109, -0.898862918055109, -0.898862918055109, #> 1.09861023317847, -0.898862918055109, 1.09861023317847, -0.898862918055109, #> 1.09861023317847, 1.09861023317847, 1.09861023317847, -0.898862918055109, #> -0.898862918055109, -0.898862918055109, 1.09861023317847, -0.898862918055109, #> 1.09861023317847, 1.09861023317847, 1.09861023317847, 1.09861023317847, #> 1.09861023317847, 1.09861023317847, 1.09861023317847, 1.09861023317847, #> -0.898862918055109, -0.898862918055109, 1.09861023317847, 1.09861023317847, #> 1.09861023317847, 1.09861023317847, 1.09861023317847, 1.09861023317847, #> 1.09861023317847, -0.898862918055109, -0.898862918055109, -0.898862918055109, #> 1.09861023317847, -0.898862918055109, 1.09861023317847, -0.898862918055109, #> -0.898862918055109, 1.09861023317847, -0.898862918055109, -0.898862918055109, #> -0.898862918055109, 1.09861023317847, -0.898862918055109, -0.898862918055109, #> -0.898862918055109, -0.898862918055109, -0.898862918055109, 1.09861023317847, #> -0.898862918055109, -0.898862918055109, -0.898862918055109, -0.898862918055109, #> 1.09861023317847, -0.898862918055109, -0.898862918055109, -0.898862918055109, #> -0.898862918055109, -0.898862918055109, 1.09861023317847, 1.09861023317847, #> 1.09861023317847, -0.898862918055109, -0.898862918055109, -0.898862918055109, #> 1.09861023317847, -0.898862918055109, 1.09861023317847, -0.898862918055109, #> 1.09861023317847, -1.01889205789476, -1.01889205789476, -1.01889205789476, #> 0.969190006290141, -1.01889205789476, 0.969190006290141, 0.969190006290141, #> 0.969190006290141, -1.01889205789476, 0.969190006290141, 0.969190006290141, #> 0.969190006290141, -1.01889205789476, -1.01889205789476, 0.969190006290141, #> -1.01889205789476, -1.01889205789476, 0.969190006290141, -1.01889205789476, #> -1.01889205789476, 0.969190006290141, 0.969190006290141, 0.969190006290141, #> -1.01889205789476, 0.969190006290141, 0.969190006290141, 0.969190006290141, #> 0.969190006290141, -1.01889205789476, 0.969190006290141, -1.01889205789476, #> 0.969190006290141, -1.01889205789476, -1.01889205789476, -1.01889205789476, #> 0.969190006290141, -1.01889205789476, 0.969190006290141, -1.01889205789476, #> -1.01889205789476, 0.969190006290141, 0.969190006290141, 0.969190006290141, #> -1.01889205789476, -1.01889205789476, 0.969190006290141, -1.01889205789476, #> 0.969190006290141, -1.01889205789476, 0.969190006290141, 0.969190006290141, #> -1.01889205789476, -1.01889205789476, 0.969190006290141, -1.01889205789476, #> 0.969190006290141, -1.01889205789476, -1.01889205789476, 0.969190006290141, #> 0.969190006290141, 0.969190006290141, 0.969190006290141, -1.01889205789476, #> -1.01889205789476, 0.969190006290141, 0.969190006290141, 0.969190006290141, #> -1.01889205789476, -1.01889205789476, 0.969190006290141, 0.969190006290141, #> -1.01889205789476, 0.969190006290141, 0.969190006290141, -1.01889205789476, #> -1.01889205789476, 0.969190006290141, -1.01889205789476, -1.01889205789476, #> -1.01889205789476, 0.969190006290141, -1.01889205789476, -1.01889205789476, #> -1.01889205789476, 0.969190006290141, -1.01889205789476, 0.969190006290141, #> -1.01889205789476, -1.01889205789476, -1.01889205789476, 0.969190006290141, #> 0.969190006290141, 0.969190006290141, -1.01889205789476, 0.969190006290141, #> 0.969190006290141, 0.969190006290141, 0.969190006290141, -1.01889205789476, #> -1.01889205789476, 0.969190006290141, 0.969190006290141, 0.969190006290141, #> -1.01889205789476, 0.969190006290141, -1.01889205789476, 0.969190006290141, #> 0.969190006290141, -1.01889205789476, 0.969190006290141, 0.969190006290141, #> 0.969190006290141, -1.01889205789476, -1.01889205789476, -1.01889205789476, #> 0.969190006290141, -1.01889205789476, -1.01889205789476, 0.969190006290141, #> -1.01889205789476, 0.969190006290141, 0.969190006290141, 0.969190006290141, #> -1.01889205789476, -1.01889205789476, 0.969190006290141, 0.969190006290141, #> -1.01889205789476, 0.969190006290141, 0.969190006290141, 0.969190006290141, #> -1.01889205789476, -1.01889205789476, -1.01889205789476, -1.01889205789476, #> 0.969190006290141, 0.969190006290141, -1.01889205789476, 0.969190006290141, #> 0.969190006290141, -1.01889205789476, 0.969190006290141, -1.01889205789476, #> 0.969190006290141, -1.01889205789476, -1.01889205789476, 0.969190006290141, #> 0.969190006290141, 0.969190006290141, -1.01889205789476, 0.969190006290141, #> -1.01889205789476, -1.01889205789476, -1.01889205789476, -1.01889205789476, #> 0.969190006290141, -1.01889205789476, -1.01889205789476, -1.01889205789476, #> 0.969190006290141, -1.01889205789476, 0.969190006290141, -1.01889205789476, #> -1.01889205789476, -1.01889205789476, 0.969190006290141, 0.969190006290141, #> -1.01889205789476, 0.969190006290141, -1.01889205789476, 0.969190006290141, #> 0.969190006290141, 0.969190006290141, 0.969190006290141, 0.969190006290141, #> -1.01889205789476, 0.969190006290141, -1.01889205789476, 0.969190006290141, #> 0.969190006290141, -1.01889205789476, 0.969190006290141, 0.969190006290141, #> -1.01889205789476, 0.969190006290141, -1.01889205789476, 0.969190006290141, #> -1.01889205789476, 0.969190006290141, -1.01889205789476, 0.969190006290141, #> -1.01889205789476, 0.969190006290141, -1.01889205789476, -1.01889205789476, #> -1.01889205789476, 0.969190006290141, 0.969190006290141, 0.969190006290141, #> 0.969190006290141, 0.969190006290141, -1.01889205789476, -1.01889205789476, #> 0.969190006290141, 0.969190006290141, -1.01889205789476, -1.01889205789476, #> -1.01889205789476, 0.969190006290141, -1.01889205789476, -1.01889205789476, #> 0.969190006290141, 0.969190006290141, -1.01889205789476, -1.01889205789476, #> -1.01889205789476, -1.01889205789476, 0.969190006290141, -1.01889205789476, #> 0.969190006290141, 0.969190006290141, 0.969190006290141, 0.969190006290141, #> -1.01889205789476, -1.01889205789476, -1.01889205789476, -1.01889205789476, #> -1.01889205789476, -1.01889205789476, 0.969190006290141, 0.969190006290141, #> -1.01889205789476, 0.969190006290141, -1.01889205789476, 0.969190006290141, #> -1.01889205789476, 0.969190006290141, -1.01889205789476, 0.969190006290141, #> 0.969190006290141, 1.09861023317847, -0.898862918055109, -0.898862918055109, #> 1.09861023317847, -0.898862918055109, -0.898862918055109, 1.09861023317847, #> 1.09861023317847, 1.09861023317847, -0.898862918055109, 1.09861023317847, #> -0.898862918055109, -0.898862918055109, -0.898862918055109, 1.09861023317847, #> -0.898862918055109, -0.898862918055109, 1.09861023317847, 1.09861023317847, #> 1.09861023317847, -0.898862918055109, -0.898862918055109, -0.898862918055109, #> 1.09861023317847, -0.898862918055109, -0.898862918055109, -0.898862918055109, #> 1.09861023317847, -0.898862918055109, -0.898862918055109, -0.898862918055109, #> -0.898862918055109, -0.898862918055109, 1.09861023317847, 1.09861023317847, #> -0.898862918055109, 1.09861023317847, 1.09861023317847, -0.898862918055109, #> -0.898862918055109, 1.09861023317847, 1.09861023317847, -0.898862918055109, #> -0.898862918055109, 1.09861023317847, -0.898862918055109, 1.09861023317847, #> 1.09861023317847, -0.898862918055109, -0.898862918055109, 1.09861023317847, #> -0.898862918055109, 1.09861023317847, -0.898862918055109, -0.898862918055109, #> 1.09861023317847, 1.09861023317847, -0.898862918055109, 1.09861023317847, #> -0.898862918055109, 1.09861023317847, -0.898862918055109, 1.09861023317847, #> -0.898862918055109, 1.09861023317847, -0.898862918055109, 1.09861023317847, #> 1.09861023317847, 1.09861023317847, 1.09861023317847, -0.898862918055109, #> 1.09861023317847, -0.898862918055109, -0.898862918055109, 1.09861023317847, #> -0.898862918055109, -0.898862918055109, -0.898862918055109, 1.09861023317847, #> -0.898862918055109, -1.09861023317847, -1.09861023317847, -1.09861023317847, #> -1.09861023317847, 0.898862918055109, 0.898862918055109, 0.898862918055109, #> 0.898862918055109, -1.09861023317847, 0.898862918055109, 0.898862918055109, #> 0.898862918055109, 0.898862918055109, 0.898862918055109, -1.09861023317847, #> -1.09861023317847, 0.898862918055109, -1.09861023317847, 0.898862918055109, #> 0.898862918055109, -1.09861023317847, 0.898862918055109, 0.898862918055109, #> -1.09861023317847, 0.898862918055109, 0.898862918055109, 0.898862918055109, #> -1.09861023317847, -1.09861023317847, 0.898862918055109, -1.09861023317847, #> 0.898862918055109, -1.09861023317847, 0.898862918055109, 0.898862918055109, #> 0.898862918055109, -1.09861023317847, -1.09861023317847, 0.898862918055109, #> -1.09861023317847, -1.09861023317847, 0.898862918055109, 0.898862918055109, #> -1.09861023317847, 0.898862918055109, 0.898862918055109, 0.898862918055109, #> -1.09861023317847, 0.898862918055109, 0.898862918055109, -1.09861023317847, #> -1.09861023317847, -1.09861023317847, 0.898862918055109, -1.09861023317847, #> -1.09861023317847, -1.09861023317847, 0.898862918055109, 0.898862918055109, #> 0.898862918055109, 0.898862918055109, 0.898862918055109, -1.09861023317847, #> -1.09861023317847, -1.09861023317847, 0.898862918055109, -1.09861023317847, #> 0.898862918055109, 0.898862918055109, -1.09861023317847, -1.09861023317847, #> 0.898862918055109, 0.898862918055109, -1.09861023317847, -1.09861023317847, #> 0.898862918055109, 0.898862918055109, -1.09861023317847, 0.898862918055109, #> -1.09861023317847, -0.854336762844621, -0.854336762844621, -0.854336762844621, #> -0.854336762844621, -0.854336762844621, -0.854336762844621, 1.15586738502508, #> -0.854336762844621, -0.854336762844621, -0.854336762844621, -0.854336762844621, #> 1.15586738502508, -0.854336762844621, 1.15586738502508, -0.854336762844621, #> -0.854336762844621, 1.15586738502508, 1.15586738502508, -0.854336762844621, #> 1.15586738502508, 1.15586738502508, -0.854336762844621, -0.854336762844621, #> 1.15586738502508, 1.15586738502508, -0.854336762844621, -0.854336762844621, #> -0.854336762844621, -0.854336762844621, 1.15586738502508, -0.854336762844621, #> -0.854336762844621, -0.854336762844621, 1.15586738502508, -0.854336762844621, #> -0.854336762844621, 1.15586738502508, 1.15586738502508, 1.15586738502508, #> -0.854336762844621, -0.854336762844621, -0.854336762844621, -0.854336762844621, #> -0.854336762844621, 1.15586738502508, 1.15586738502508, 1.15586738502508, #> -0.854336762844621, -0.854336762844621, 1.15586738502508, -0.854336762844621, #> -0.854336762844621, -0.854336762844621, -0.854336762844621, 1.15586738502508, #> 1.15586738502508, 1.15586738502508, 1.15586738502508, 1.15586738502508, #> 1.15586738502508, 1.15586738502508, -0.854336762844621, -0.854336762844621, #> -0.854336762844621, -0.854336762844621, -0.854336762844621, 1.15586738502508, #> 1.15586738502508, -0.854336762844621, 1.15586738502508, -0.854336762844621, #> 1.15586738502508, -0.854336762844621, 1.15586738502508, -0.854336762844621, #> 1.15586738502508, -0.854336762844621, 1.15586738502508, 1.15586738502508, #> 1.15586738502508, -0.854336762844621, -0.854336762844621, -0.854336762844621, #> 1.15586738502508, -0.854336762844621, -0.854336762844621, -0.854336762844621, #> -0.854336762844621, -0.854336762844621, -0.854336762844621, 1.15586738502508, #> 1.15586738502508, 1.15586738502508, -0.854336762844621, -0.854336762844621, #> -0.854336762844621, 1.15586738502508, -0.854336762844621, 1.15586738502508, #> -0.854336762844621, -0.854336762844621, -0.854336762844621, 1.15586738502508, #> -0.854336762844621, -0.854336762844621, 1.15586738502508, 1.15586738502508, #> -0.854336762844621, -0.854336762844621, -0.854336762844621, -0.854336762844621, #> 1.15586738502508, 1.15586738502508, 1.15586738502508, 1.15586738502508, #> 1.15586738502508, -0.854336762844621, 1.15586738502508, -0.854336762844621, #> -0.854336762844621, -0.854336762844621, -0.854336762844621, 1.15586738502508, #> -0.854336762844621, -0.854336762844621, 1.15586738502508, -0.854336762844621, #> -0.854336762844621, 1.15586738502508, 1.15586738502508, 1.15586738502508, #> -0.854336762844621, -0.854336762844621, -0.854336762844621, -0.854336762844621, #> 1.15586738502508, 1.15586738502508, -0.854336762844621, -0.854336762844621, #> 1.15586738502508, 1.15586738502508, 1.15586738502508, -0.854336762844621, #> -0.854336762844621, -0.854336762844621, 1.15586738502508, 1.15586738502508, #> -0.854336762844621, -0.854336762844621, -0.854336762844621, 1.15586738502508, #> -0.854336762844621, 1.15586738502508, 1.15586738502508, -0.854336762844621, #> 1.15586738502508, 1.15586738502508, 1.15586738502508, 1.15586738502508, #> -0.854336762844621, -0.945226100439668, -0.945226100439668, -0.945226100439668, #> -0.945226100439668, -0.945226100439668, 1.04472358469648, -0.945226100439668, #> -0.945226100439668, -0.945226100439668, 1.04472358469648, -0.945226100439668, #> -0.945226100439668, 1.04472358469648, 1.04472358469648, -0.945226100439668, #> -0.945226100439668, -0.945226100439668, -0.945226100439668, -0.945226100439668, #> -0.945226100439668, 1.04472358469648, 1.04472358469648, 1.04472358469648, #> -0.945226100439668, 1.04472358469648, -0.945226100439668, 1.04472358469648, #> -0.945226100439668, -0.945226100439668, 1.04472358469648, 1.04472358469648, #> 1.04472358469648, 1.04472358469648, -0.945226100439668, -0.945226100439668, #> -0.945226100439668, 1.04472358469648, 1.04472358469648, 1.04472358469648, #> 1.04472358469648, 1.04472358469648, 1.04472358469648, 1.04472358469648, #> 1.04472358469648, -0.945226100439668, 1.04472358469648, -0.945226100439668, #> 1.04472358469648, 1.04472358469648, -0.945226100439668, -0.945226100439668, #> 1.04472358469648, 1.04472358469648, 1.04472358469648, 1.04472358469648, #> -0.945226100439668, -0.945226100439668, 1.04472358469648, 1.04472358469648, #> 1.04472358469648, -0.945226100439668, 1.04472358469648, -0.945226100439668, #> -0.945226100439668, -0.945226100439668, -0.945226100439668, -0.945226100439668, #> -0.945226100439668, -0.945226100439668, 1.04472358469648, 1.04472358469648, #> -0.945226100439668, 1.04472358469648, -0.945226100439668, 1.04472358469648, #> -0.945226100439668, 1.04472358469648, -0.945226100439668, -0.945226100439668, #> 1.04472358469648, -0.921796779298768, -0.921796779298768, -0.921796779298768, #> -0.921796779298768, -0.921796779298768, 1.07127733810397, -0.921796779298768, #> 1.07127733810397, -0.921796779298768, -0.921796779298768, 1.07127733810397, #> 1.07127733810397, -0.921796779298768, 1.07127733810397, -0.921796779298768, #> 1.07127733810397, 1.07127733810397, 1.07127733810397, -0.921796779298768, #> 1.07127733810397, -0.921796779298768, 1.07127733810397, -0.921796779298768, #> 1.07127733810397, 1.07127733810397, 1.07127733810397, -0.921796779298768, #> -0.921796779298768, 1.07127733810397, -0.921796779298768, -0.921796779298768, #> 1.07127733810397, 1.07127733810397, 1.07127733810397, -0.921796779298768, #> 1.07127733810397, 1.07127733810397, 1.07127733810397, 1.07127733810397, #> 1.07127733810397, 1.07127733810397, -0.921796779298768, 1.07127733810397, #> 1.07127733810397, 1.07127733810397, 1.07127733810397, -0.921796779298768, #> -0.921796779298768, -0.921796779298768, -0.921796779298768, -0.921796779298768, #> -0.921796779298768, -0.921796779298768, 1.07127733810397, -0.921796779298768, #> -0.921796779298768, 1.07127733810397, 1.07127733810397, 1.07127733810397, #> -0.921796779298768, -0.921796779298768, -0.921796779298768, -0.921796779298768, #> -0.921796779298768, -0.921796779298768, 1.07127733810397, -0.921796779298768, #> -0.921796779298768, -0.921796779298768, 1.07127733810397, -0.921796779298768, #> 1.07127733810397, -0.921796779298768, -0.921796779298768, -0.921796779298768, #> -0.921796779298768, -0.921796779298768, 1.07127733810397, 1.07127733810397, #> 1.07127733810397, -1.04472358469648, -1.04472358469648, -1.04472358469648, #> -1.04472358469648, -1.04472358469648, 0.945226100439668, 0.945226100439668, #> 0.945226100439668, -1.04472358469648, -1.04472358469648, 0.945226100439668, #> 0.945226100439668, -1.04472358469648, -1.04472358469648, -1.04472358469648, #> -1.04472358469648, 0.945226100439668, 0.945226100439668, -1.04472358469648, #> -1.04472358469648, -1.04472358469648, -1.04472358469648, 0.945226100439668, #> -1.04472358469648, 0.945226100439668, 0.945226100439668, 0.945226100439668, #> 0.945226100439668, 0.945226100439668, 0.945226100439668, 0.945226100439668, #> -1.04472358469648, -1.04472358469648, 0.945226100439668, 0.945226100439668, #> 0.945226100439668, -1.04472358469648, 0.945226100439668, 0.945226100439668, #> -1.04472358469648, 0.945226100439668, 0.945226100439668, -1.04472358469648, #> 0.945226100439668, 0.945226100439668, 0.945226100439668, -1.04472358469648, #> 0.945226100439668, 0.945226100439668, 0.945226100439668, -1.04472358469648, #> -1.04472358469648, 0.945226100439668, 0.945226100439668, 0.945226100439668, #> -1.04472358469648, -1.04472358469648, 0.945226100439668, 0.945226100439668, #> 0.945226100439668, 0.945226100439668, -1.04472358469648, 0.945226100439668, #> -1.04472358469648, 0.945226100439668, -1.04472358469648, -1.04472358469648, #> -1.04472358469648, -1.04472358469648, 0.945226100439668, 0.945226100439668, #> 0.945226100439668, -1.04472358469648, -1.04472358469648, -1.04472358469648, #> 0.945226100439668, -1.04472358469648, -1.04472358469648, -1.04472358469648, #> 0.945226100439668, 0.969190006290141, -1.01889205789476, 0.969190006290141, #> -1.01889205789476, 0.969190006290141, 0.969190006290141, 0.969190006290141, #> 0.969190006290141, -1.01889205789476, -1.01889205789476, 0.969190006290141, #> 0.969190006290141, -1.01889205789476, 0.969190006290141, -1.01889205789476, #> 0.969190006290141, -1.01889205789476, 0.969190006290141, -1.01889205789476, #> 0.969190006290141, 0.969190006290141, 0.969190006290141, -1.01889205789476, #> 0.969190006290141, 0.969190006290141, -1.01889205789476, -1.01889205789476, #> -1.01889205789476, -1.01889205789476, 0.969190006290141, 0.969190006290141, #> 0.969190006290141, -1.01889205789476, -1.01889205789476, 0.969190006290141, #> -1.01889205789476, 0.969190006290141, 0.969190006290141, 0.969190006290141, #> 0.969190006290141, -1.01889205789476, 0.969190006290141, 0.969190006290141, #> -1.01889205789476, -1.01889205789476, 0.969190006290141, -1.01889205789476, #> -1.01889205789476, 0.969190006290141, -1.01889205789476, -1.01889205789476, #> -1.01889205789476, -1.01889205789476, -1.01889205789476, -1.01889205789476, #> 0.969190006290141, 0.969190006290141, -1.01889205789476, 0.969190006290141, #> 0.969190006290141, -1.01889205789476, -1.01889205789476, 0.969190006290141, #> -1.01889205789476, -1.01889205789476, -1.01889205789476, 0.969190006290141, #> 0.969190006290141, -1.01889205789476, 0.969190006290141, 0.969190006290141, #> -1.01889205789476, -1.01889205789476, -1.01889205789476, 0.969190006290141, #> 0.969190006290141, -1.01889205789476, 0.969190006290141, -1.01889205789476, #> 0.969190006290141, -0.969190006290141, -0.969190006290141, 1.01889205789476, #> -0.969190006290141, -0.969190006290141, -0.969190006290141, 1.01889205789476, #> 1.01889205789476, -0.969190006290141, -0.969190006290141, 1.01889205789476, #> 1.01889205789476, 1.01889205789476, 1.01889205789476, 1.01889205789476, #> -0.969190006290141, 1.01889205789476, -0.969190006290141, 1.01889205789476, #> 1.01889205789476, -0.969190006290141, 1.01889205789476, 1.01889205789476, #> 1.01889205789476, 1.01889205789476, 1.01889205789476, 1.01889205789476, #> 1.01889205789476, 1.01889205789476, -0.969190006290141, 1.01889205789476, #> -0.969190006290141, -0.969190006290141, 1.01889205789476, -0.969190006290141, #> 1.01889205789476, 1.01889205789476, 1.01889205789476, -0.969190006290141, #> -0.969190006290141, -0.969190006290141, -0.969190006290141, 1.01889205789476, #> -0.969190006290141, 1.01889205789476, -0.969190006290141, -0.969190006290141, #> -0.969190006290141, -0.969190006290141, -0.969190006290141, -0.969190006290141, #> -0.969190006290141, -0.969190006290141, -0.969190006290141, -0.969190006290141, #> -0.969190006290141, -0.969190006290141, -0.969190006290141, 1.01889205789476, #> 1.01889205789476, 1.01889205789476, -0.969190006290141, 1.01889205789476, #> -0.969190006290141, -0.969190006290141, 1.01889205789476, 1.01889205789476, #> 1.01889205789476, 1.01889205789476, -0.969190006290141, -0.969190006290141, #> 1.01889205789476, 1.01889205789476, -0.969190006290141, -0.969190006290141, #> -0.969190006290141, 1.01889205789476, 1.01889205789476, 1.01889205789476, #> -0.969190006290141, -0.811377429642539, -0.811377429642539, -0.811377429642539, #> -0.811377429642539, -0.811377429642539, 1.21706614446381, -0.811377429642539, #> -0.811377429642539, -0.811377429642539, 1.21706614446381, 1.21706614446381, #> 1.21706614446381, 1.21706614446381, -0.811377429642539, -0.811377429642539, #> -0.811377429642539, 1.21706614446381, -0.811377429642539, -0.811377429642539, #> 1.21706614446381, -0.811377429642539, -0.811377429642539, -0.811377429642539, #> -0.811377429642539, -0.811377429642539, 1.21706614446381, 1.21706614446381, #> -0.811377429642539, 1.21706614446381, 1.21706614446381, -0.811377429642539, #> -0.811377429642539, 1.21706614446381, -0.811377429642539, 1.21706614446381, #> -0.811377429642539, 1.21706614446381, 1.21706614446381, 1.21706614446381, #> -0.811377429642539, -0.811377429642539, -0.811377429642539, 1.21706614446381, #> 1.21706614446381, 1.21706614446381, 1.21706614446381, -0.811377429642539, #> 1.21706614446381, 1.21706614446381, -0.811377429642539, 1.21706614446381, #> -0.811377429642539, -0.811377429642539, 1.21706614446381, -0.811377429642539, #> 1.21706614446381, -0.811377429642539, 1.21706614446381, 1.21706614446381, #> -0.811377429642539, -0.811377429642539, -0.811377429642539, -0.811377429642539, #> -0.811377429642539, -0.811377429642539, -0.811377429642539, -0.811377429642539, #> -0.811377429642539, -0.811377429642539, -0.811377429642539, 1.21706614446381, #> -0.811377429642539, 1.21706614446381, 1.21706614446381, -0.811377429642539, #> 1.21706614446381, -0.811377429642539, -0.811377429642539, 1.21706614446381, #> -0.811377429642539, 0.854336762844621, -1.15586738502508, -1.15586738502508, #> -1.15586738502508, -1.15586738502508, 0.854336762844621, -1.15586738502508, #> -1.15586738502508, 0.854336762844621, -1.15586738502508, -1.15586738502508, #> 0.854336762844621, 0.854336762844621, 0.854336762844621, 0.854336762844621, #> -1.15586738502508, 0.854336762844621, 0.854336762844621, 0.854336762844621, #> 0.854336762844621, -1.15586738502508, 0.854336762844621, -1.15586738502508, #> -1.15586738502508, 0.854336762844621, 0.854336762844621, 0.854336762844621, #> 0.854336762844621, 0.854336762844621, -1.15586738502508, 0.854336762844621, #> -1.15586738502508, 0.854336762844621, 0.854336762844621, 0.854336762844621, #> 0.854336762844621, -1.15586738502508, 0.854336762844621, -1.15586738502508, #> -1.15586738502508, 0.854336762844621, -1.15586738502508, 0.854336762844621, #> 0.854336762844621, 0.854336762844621, -1.15586738502508, -1.15586738502508, #> -1.15586738502508, -1.15586738502508, -1.15586738502508, 0.854336762844621, #> -1.15586738502508, 0.854336762844621, -1.15586738502508, -1.15586738502508, #> 0.854336762844621, 0.854336762844621, -1.15586738502508, 0.854336762844621, #> 0.854336762844621, -1.15586738502508, 0.854336762844621, -1.15586738502508, #> 0.854336762844621, -1.15586738502508, 0.854336762844621, 0.854336762844621, #> -1.15586738502508, -1.15586738502508, 0.854336762844621, -1.15586738502508, #> 0.854336762844621, 0.854336762844621, 0.854336762844621, 0.854336762844621, #> -1.15586738502508, 0.854336762844621, 0.854336762844621, 0.854336762844621, #> 0.854336762844621, 1.01889205789476, -0.969190006290141, -0.969190006290141, #> -0.969190006290141, 1.01889205789476, 1.01889205789476, 1.01889205789476, #> -0.969190006290141, -0.969190006290141, 1.01889205789476, 1.01889205789476, #> 1.01889205789476, -0.969190006290141, 1.01889205789476, -0.969190006290141, #> 1.01889205789476, 1.01889205789476, 1.01889205789476, -0.969190006290141, #> 1.01889205789476, 1.01889205789476, -0.969190006290141, -0.969190006290141, #> 1.01889205789476, 1.01889205789476, 1.01889205789476, -0.969190006290141, #> -0.969190006290141, 1.01889205789476, 1.01889205789476, -0.969190006290141, #> 1.01889205789476, -0.969190006290141, -0.969190006290141, 1.01889205789476, #> -0.969190006290141, 1.01889205789476, 1.01889205789476, 1.01889205789476, #> -0.969190006290141, -0.969190006290141, -0.969190006290141, 1.01889205789476, #> -0.969190006290141, -0.969190006290141, 1.01889205789476, 1.01889205789476, #> -0.969190006290141, 1.01889205789476, -0.969190006290141, -0.969190006290141, #> -0.969190006290141, -0.969190006290141, 1.01889205789476, -0.969190006290141, #> 1.01889205789476, 1.01889205789476, 1.01889205789476, 1.01889205789476, #> 1.01889205789476, 1.01889205789476, -0.969190006290141, -0.969190006290141, #> -0.969190006290141, -0.969190006290141, -0.969190006290141, 1.01889205789476, #> 1.01889205789476, 1.01889205789476, -0.969190006290141, -0.969190006290141, #> -0.969190006290141, -0.969190006290141, -0.969190006290141, -0.969190006290141, #> 1.01889205789476, -0.969190006290141, -0.969190006290141, 1.01889205789476, #> -0.969190006290141, 1.18593397537105, -0.832677046537124, 1.18593397537105, #> -0.832677046537124, -0.832677046537124, -0.832677046537124, 1.18593397537105, #> -0.832677046537124, 1.18593397537105, -0.832677046537124, 1.18593397537105, #> 1.18593397537105, -0.832677046537124, -0.832677046537124, 1.18593397537105, #> -0.832677046537124, -0.832677046537124, -0.832677046537124, -0.832677046537124, #> 1.18593397537105, 1.18593397537105, 1.18593397537105, -0.832677046537124, #> -0.832677046537124, 1.18593397537105, 1.18593397537105, -0.832677046537124, #> 1.18593397537105, 1.18593397537105, -0.832677046537124, 1.18593397537105, #> -0.832677046537124, 1.18593397537105, -0.832677046537124, -0.832677046537124, #> -0.832677046537124, -0.832677046537124, 1.18593397537105, 1.18593397537105, #> 1.18593397537105, 1.18593397537105, -0.832677046537124, 1.18593397537105, #> 1.18593397537105, 1.18593397537105, -0.832677046537124, 1.18593397537105, #> -0.832677046537124, -0.832677046537124, -0.832677046537124, -0.832677046537124, #> -0.832677046537124, 1.18593397537105, -0.832677046537124, -0.832677046537124, #> 1.18593397537105, -0.832677046537124, -0.832677046537124, 1.18593397537105, #> -0.832677046537124, -0.832677046537124, -0.832677046537124, 1.18593397537105, #> -0.832677046537124, -0.832677046537124, 1.18593397537105, -0.832677046537124, #> 1.18593397537105, -0.832677046537124, -0.832677046537124, 1.18593397537105, #> 1.18593397537105, -0.832677046537124, -0.832677046537124, -0.832677046537124, #> -0.832677046537124, -0.832677046537124, -0.832677046537124, -0.832677046537124, #> 1.18593397537105, 0.650549218517927, 0.650549218517927, 0.650549218517927, #> 0.650549218517927, 0.650549218517927, -1.51794817654183, -1.51794817654183, #> 0.650549218517927, -1.51794817654183, 0.650549218517927, -1.51794817654183, #> 0.650549218517927, 0.650549218517927, 0.650549218517927, 0.650549218517927, #> 0.650549218517927, 0.650549218517927, 0.650549218517927, -1.51794817654183, #> -1.51794817654183, 0.650549218517927, 0.650549218517927, 0.650549218517927, #> -1.51794817654183, 0.650549218517927, -1.51794817654183, -1.51794817654183, #> -1.51794817654183, -1.51794817654183, -1.51794817654183, 0.650549218517927, #> 0.650549218517927, 0.650549218517927, 0.650549218517927, 0.650549218517927, #> 0.650549218517927, -1.51794817654183, -1.51794817654183, -1.51794817654183, #> 0.650549218517927, -1.51794817654183, 0.650549218517927, 0.650549218517927, #> -1.51794817654183, -1.51794817654183, 0.650549218517927, -1.51794817654183, #> -1.51794817654183, 0.650549218517927, 0.650549218517927, 0.650549218517927, #> 0.650549218517927, -1.51794817654183, 0.650549218517927, 0.650549218517927, #> 0.650549218517927, 0.650549218517927, 0.650549218517927, -1.51794817654183, #> 0.650549218517927, -1.51794817654183, 0.650549218517927, 0.650549218517927, #> 0.650549218517927, 0.650549218517927, 0.650549218517927, 0.650549218517927, #> 0.650549218517927, 0.650549218517927, 0.650549218517927, 0.650549218517927, #> -1.51794817654183, 0.650549218517927, 0.650549218517927, 0.650549218517927, #> 0.650549218517927, 0.650549218517927, 0.650549218517927, 0.650549218517927, #> 0.650549218517927, -2.84243689529752, -0.229732314916898, 0.752085699177806, #> 0.747216426060814, -0.412542971788334, -0.660279738799203, -0.37135447552251, #> -0.451701555109113, 0.423595277532239, -2.22197745181848, -1.64575026316205, #> 0.6268983536311, -1.35378198190243, 1.12196679375246, -1.33795591855488, #> -0.115704676837867, 1.67526655633604, -0.0568646026642816, 1.55860099417447, #> 0.215828762790624, -1.21601450822822, -0.154660342921526, 0.766491341865524, #> 0.852317186854334, 0.329045472495038, 0.386870960483028, 0.965938990459128, #> 0.965938990459128, 1.32770413612289, 1.19379208995393, 0.772375201168112, #> -0.632888874083599, -1.56824402489511, 0.787389595567185, -2.95707328508791, #> 0.137713772812328, 1.81039610592771, 0.0200336244651591, 0.513478726689567, #> -0.247587550635635, 0.812346194011222, -0.994856936984476, -0.47665815355315, #> -1.28824563890392, 0.893910777020538, -0.175762254434164, -0.991002250053077, #> 0.715970133839952, -0.567556188896071, -2.25667333707036, -1.12065303424254, #> 0.312610657436133, -0.522513005698848, 0.72692618349665, 0.842374982809372, #> -0.779380307806204, -0.919987882226223, -0.3378768342672, -1.05937795322353, #> -0.171095157980432, 1.22280703314034, 0.756144043920182, 1.01848937085589, #> 0.162061619545009, 0.410001303792997, 0.816200880942622, 1.3912113067502, #> 0.325799537274996, 0.68817343465011, 0.272640405166879, -1.16468163125417, #> 0.391335139699642, 0.149684408654621, 0.566434941560565, 0.228408890918131, #> -0.105965390030022, -0.0840525501427673, 0.244640788739919, 0.651854952075137, #> -0.0580821060869946, -1.03904847299718, 0.301659234095955, 0.301659234095955, #> 0.301659234095955, 0.301659234095955, 0.301659234095955, 0.301659234095955, #> 0.301659234095955, 0.301659234095955, -1.03904847299718, -1.03904847299718, #> 0.301659234095955, 0.301659234095955, -1.03904847299718, 0.301659234095955, #> -1.03904847299718, 0.301659234095955, -1.03904847299718, 0.301659234095955, #> -1.03904847299718, -1.03904847299718, 1.64236694118909, -1.03904847299718, #> -1.03904847299718, 1.64236694118909, -1.03904847299718, 0.301659234095955, #> 0.301659234095955, -1.03904847299718, -1.03904847299718, 1.64236694118909, #> 1.64236694118909, 0.301659234095955, -1.03904847299718, 0.301659234095955, #> 0.301659234095955, 0.301659234095955, -1.03904847299718, -1.03904847299718, #> 1.64236694118909, 0.301659234095955, -1.03904847299718, 0.301659234095955, #> 1.64236694118909, -1.03904847299718, 0.301659234095955, 0.301659234095955, #> 1.64236694118909, -1.03904847299718, -1.03904847299718, 0.301659234095955, #> 1.64236694118909, 0.301659234095955, -1.03904847299718, -1.03904847299718, #> -1.03904847299718, -1.03904847299718, -1.03904847299718, -1.03904847299718, #> -1.03904847299718, -1.03904847299718, 0.301659234095955, 1.64236694118909, #> 1.64236694118909, -1.03904847299718, -1.03904847299718, -1.03904847299718, #> 0.301659234095955, 0.301659234095955, 1.64236694118909, 1.64236694118909, #> -1.03904847299718, -1.03904847299718, 0.301659234095955, 0.301659234095955, #> 0.301659234095955, 1.64236694118909, 1.64236694118909, 0.301659234095955, #> 1.64236694118909, 0.541677248057095, -2.79172120152503, 0.541677248057095, #> -1.68058838499765, 0.541677248057095, 0.541677248057095, -1.68058838499765, #> 0.541677248057095, 0.541677248057095, -2.79172120152503, 0.541677248057095, #> 0.541677248057095, 0.541677248057095, 0.541677248057095, 0.541677248057095, #> 0.541677248057095, -0.569455568470279, 0.541677248057095, 0.541677248057095, #> 0.541677248057095, -1.68058838499765, 0.541677248057095, 0.541677248057095, #> -0.569455568470279, 0.541677248057095, -0.569455568470279, 0.541677248057095, #> 0.541677248057095, -0.569455568470279, -1.68058838499765, -0.569455568470279, #> -2.79172120152503, -0.569455568470279, 1.65281006458447, 1.65281006458447, #> 0.541677248057095, 0.541677248057095, -0.569455568470279, -0.569455568470279, #> 0.541677248057095, -1.68058838499765, 0.541677248057095, -1.68058838499765, #> -0.569455568470279, 0.541677248057095, 0.541677248057095, 0.541677248057095, #> -1.68058838499765, 0.541677248057095, 0.541677248057095, -0.569455568470279, #> 0.541677248057095, 0.541677248057095, -0.569455568470279, 0.541677248057095, #> -0.569455568470279, -0.569455568470279, -0.569455568470279, -1.68058838499765, #> 0.541677248057095, 0.541677248057095, 0.541677248057095, 1.65281006458447, #> 0.541677248057095, 0.541677248057095, 0.541677248057095, 0.541677248057095, #> 0.541677248057095, 0.541677248057095, 0.541677248057095, -1.68058838499765, #> 1.65281006458447, 0.541677248057095, -0.569455568470279, 0.541677248057095, #> 0.541677248057095, 0.541677248057095, 0.541677248057095, 0.541677248057095, #> -0.569455568470279, -0.707069797647142, -0.707069797647142, -0.707069797647142, #> -0.707069797647142, -0.707069797647142, -0.707069797647142, -0.707069797647142, #> 1.86409310288792, 0.578511652620389, -0.707069797647142, 1.86409310288792, #> -0.707069797647142, 1.86409310288792, -0.707069797647142, 1.86409310288792, #> 1.86409310288792, 0.578511652620389, -0.707069797647142, -0.707069797647142, #> -0.707069797647142, -0.707069797647142, -0.707069797647142, -0.707069797647142, #> 1.86409310288792, -0.707069797647142, -0.707069797647142, 1.86409310288792, #> 1.86409310288792, -0.707069797647142, -0.707069797647142, 0.578511652620389, #> -0.707069797647142, -0.707069797647142, 0.578511652620389, 1.86409310288792, #> -0.707069797647142, 0.578511652620389, 0.578511652620389, -0.707069797647142, #> 0.578511652620389, -0.707069797647142, 1.86409310288792, -0.707069797647142, #> -0.707069797647142, -0.707069797647142, -0.707069797647142, -0.707069797647142, #> -0.707069797647142, 0.578511652620389, -0.707069797647142, -0.707069797647142, #> 1.86409310288792, 0.578511652620389, -0.707069797647142, -0.707069797647142, #> -0.707069797647142, -0.707069797647142, -0.707069797647142, -0.707069797647142, #> -0.707069797647142, 0.578511652620389, 0.578511652620389, 1.86409310288792, #> -0.707069797647142, 0.578511652620389, -0.707069797647142, -0.707069797647142, #> 1.86409310288792, -0.707069797647142, 0.578511652620389, -0.707069797647142, #> 0.578511652620389, 0.578511652620389, -0.707069797647142, 0.578511652620389, #> 1.86409310288792, -0.707069797647142, -0.707069797647142, -0.707069797647142, #> -0.707069797647142, -0.57373048260195, -0.57373048260195, -0.57373048260195, #> -0.57373048260195, 1.72119144780585, 1.72119144780585, -0.57373048260195, #> 1.72119144780585, -0.57373048260195, -0.57373048260195, 1.72119144780585, #> -0.57373048260195, 1.72119144780585, -0.57373048260195, -0.57373048260195, #> 1.72119144780585, -0.57373048260195, -0.57373048260195, -0.57373048260195, #> -0.57373048260195, -0.57373048260195, 1.72119144780585, -0.57373048260195, #> -0.57373048260195, -0.57373048260195, -0.57373048260195, 1.72119144780585, #> 1.72119144780585, -0.57373048260195, -0.57373048260195, -0.57373048260195, #> -0.57373048260195, -0.57373048260195, -0.57373048260195, 1.72119144780585, #> -0.57373048260195, -0.57373048260195, -0.57373048260195, -0.57373048260195, #> -0.57373048260195, -0.57373048260195, 1.72119144780585, -0.57373048260195, #> -0.57373048260195, -0.57373048260195, 1.72119144780585, -0.57373048260195, #> 1.72119144780585, 1.72119144780585, -0.57373048260195, -0.57373048260195, #> 1.72119144780585, -0.57373048260195, -0.57373048260195, -0.57373048260195, #> -0.57373048260195, -0.57373048260195, -0.57373048260195, -0.57373048260195, #> -0.57373048260195, -0.57373048260195, -0.57373048260195, 1.72119144780585, #> 1.72119144780585, -0.57373048260195, -0.57373048260195, -0.57373048260195, #> -0.57373048260195, -0.57373048260195, -0.57373048260195, -0.57373048260195, #> -0.57373048260195, 1.72119144780585, -0.57373048260195, 1.72119144780585, #> 1.72119144780585, -0.57373048260195, -0.57373048260195, -0.57373048260195, #> -0.57373048260195, -0.298525816034996, -1.94556480105567, -0.298525816034996, #> -1.12204530854533, 1.34851316898567, 1.34851316898567, -1.12204530854533, #> 1.34851316898567, -0.298525816034996, -1.94556480105567, 1.34851316898567, #> -0.298525816034996, 1.34851316898567, -0.298525816034996, 0.524993676475338, #> 1.34851316898567, 0.524993676475338, -0.298525816034996, -0.298525816034996, #> -0.298525816034996, -1.12204530854533, 1.34851316898567, -0.298525816034996, #> 0.524993676475338, -0.298525816034996, -1.12204530854533, 1.34851316898567, #> 1.34851316898567, -1.12204530854533, -1.12204530854533, 0.524993676475338, #> -1.94556480105567, -1.12204530854533, 0.524993676475338, 1.34851316898567, #> -0.298525816034996, 0.524993676475338, 0.524993676475338, -1.12204530854533, #> 0.524993676475338, -1.12204530854533, 1.34851316898567, -1.12204530854533, #> -1.12204530854533, -0.298525816034996, 1.34851316898567, -0.298525816034996, #> 1.34851316898567, 1.34851316898567, -0.298525816034996, -1.12204530854533, #> 1.34851316898567, 0.524993676475338, -1.12204530854533, -0.298525816034996, #> -1.12204530854533, -1.12204530854533, -1.12204530854533, -1.12204530854533, #> -0.298525816034996, 0.524993676475338, 0.524993676475338, 1.34851316898567, #> 1.34851316898567, 0.524993676475338, -0.298525816034996, -0.298525816034996, #> 0.524993676475338, -0.298525816034996, 0.524993676475338, -1.12204530854533, #> 0.524993676475338, 1.34851316898567, -1.12204530854533, 1.34851316898567, #> 1.34851316898567, -0.298525816034996, -0.298525816034996, -0.298525816034996, #> -1.12204530854533), .Dim = c(80L, 40L), .Dimnames = list(c("1", #> "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", #> "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", #> "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", #> "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", #> "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", #> "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", #> "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", #> "80"), c("X_train_microD18S61", "X_train_microD17S794", "X_train_microD13S173", #> "X_train_microD20S107", "X_train_microTP53", "X_train_microD9S171", #> "X_train_microD8S264", "X_train_microD5S346", "X_train_microD22S928", #> "X_train_microD18S53", "X_train_microD1S225", "X_train_microD3S1282", #> "X_train_microD15S127", "X_train_microD1S305", "X_train_microD1S207", #> "X_train_microD2S138", "X_train_microD16S422", "X_train_microD9S179", #> "X_train_microD10S191", "X_train_microD4S394", "X_train_microD1S197", #> "X_train_microD6S264", "X_train_microD14S65", "X_train_microD17S790", #> "X_train_microD5S430", "X_train_microD3S1283", "X_train_microD4S414", #> "X_train_microD8S283", "X_train_microD11S916", "X_train_microD2S159", #> "X_train_microD16S408", "X_train_microD6S275", "X_train_microD10S192", #> "X_train_microsexe", "X_train_microAgediag", "X_train_microSiege", #> "X_train_microT", "X_train_microN", "X_train_microM", "X_train_microSTADE" #> )), "`scaled:center`" = c(X_train_microD18S61 = 0.525, X_train_microD17S794 = 0.45, #> X_train_microD13S173 = 0.475, X_train_microD20S107 = 0.6, X_train_microTP53 = 0.5375, #> X_train_microD9S171 = 0.475, X_train_microD8S264 = 0.525, X_train_microD5S346 = 0.475, #> X_train_microD22S928 = 0.375, X_train_microD18S53 = 0.5, X_train_microD1S225 = 0.4625, #> X_train_microD3S1282 = 0.5125, X_train_microD15S127 = 0.4625, #> X_train_microD1S305 = 0.4, X_train_microD1S207 = 0.4375, X_train_microD2S138 = 0.4875, #> X_train_microD16S422 = 0.45, X_train_microD9S179 = 0.5125, X_train_microD10S191 = 0.5125, #> X_train_microD4S394 = 0.5125, X_train_microD1S197 = 0.45, X_train_microD6S264 = 0.55, #> X_train_microD14S65 = 0.425, X_train_microD17S790 = 0.425, X_train_microD5S430 = 0.475, #> X_train_microD3S1283 = 0.4625, X_train_microD4S414 = 0.525, X_train_microD8S283 = 0.5125, #> X_train_microD11S916 = 0.4875, X_train_microD2S159 = 0.4, X_train_microD16S408 = 0.575, #> X_train_microD6S275 = 0.4875, X_train_microD10S192 = 0.4125, #> X_train_microsexe = 0.7, X_train_microAgediag = 64.236335125, #> X_train_microSiege = 1.775, X_train_microT = 2.5125, X_train_microN = 0.55, #> X_train_microM = 0.25, X_train_microSTADE = 2.3625), "`scaled:scale`" = c(X_train_microD18S61 = 0.502525268588178, #> X_train_microD17S794 = 0.500632511321833, X_train_microD13S173 = 0.502525268588178, #> X_train_microD20S107 = 0.492988818010657, X_train_microTP53 = 0.501737487466418, #> X_train_microD9S171 = 0.502525268588178, X_train_microD8S264 = 0.502525268588178, #> X_train_microD5S346 = 0.502525268588178, X_train_microD22S928 = 0.487177351846223, #> X_train_microD18S53 = 0.503154605426628, X_train_microD1S225 = 0.501737487466418, #> X_train_microD3S1282 = 0.502997345036655, X_train_microD15S127 = 0.501737487466418, #> X_train_microD1S305 = 0.492988818010657, X_train_microD1S207 = 0.499208233865883, #> X_train_microD2S138 = 0.502997345036655, X_train_microD16S422 = 0.500632511321833, #> X_train_microD9S179 = 0.502997345036655, X_train_microD10S191 = 0.502997345036655, #> X_train_microD4S394 = 0.502997345036655, X_train_microD1S197 = 0.500632511321833, #> X_train_microD6S264 = 0.500632511321833, X_train_microD14S65 = 0.497461912542437, #> X_train_microD17S790 = 0.497461912542437, X_train_microD5S430 = 0.502525268588178, #> X_train_microD3S1283 = 0.501737487466418, X_train_microD4S414 = 0.502525268588178, #> X_train_microD8S283 = 0.502997345036655, X_train_microD11S916 = 0.502997345036655, #> X_train_microD2S159 = 0.492988818010657, X_train_microD16S408 = 0.497461912542438, #> X_train_microD6S275 = 0.502997345036655, X_train_microD10S192 = 0.495390141610694, #> X_train_microsexe = 0.461148813126632, X_train_microAgediag = 13.5030421215323, #> X_train_microSiege = 0.745874730718269, X_train_microT = 0.89998241895627, #> X_train_microN = 0.77785814332643, X_train_microM = 0.435744670330595, #> X_train_microSTADE = 1.21430034030124)), y = c(`1` = -1.48432960272689, #> `2` = -0.546953975803827, `3` = -0.231455024943138, `4` = -0.340030131930231, #> `5` = -0.976337221215795, `6` = -0.386676603514146, `7` = -0.386676603514146, #> `8` = 1.57418914279605, `9` = -0.546953975803827, `10` = -0.158113883008419, #> `11` = 2.10405253987611, `12` = -0.231455024943138, `13` = -0.386676603514146, #> `14` = -1.09692040255042, `15` = -0.158113883008419, `16` = -0.158113883008419, #> `17` = -0.546953975803827, `18` = -0.386676603514146, `19` = 0.659786090690449, #> `20` = -1.09692040255042, `21` = -0.436274136565358, `22` = -0.28961087492437, #> `23` = -0.386676603514146, `24` = -0.976337221215795, `25` = -1.09692040255042, #> `26` = -0.158113883008419, `27` = -0.436274136565358, `28` = -0.436274136565358, #> `29` = -0.386676603514146, `30` = -0.231455024943138, `31` = 2.30072697072586, #> `32` = -0.490239861940916, `33` = -0.546953975803827, `34` = -0.73444881503344, #> `35` = 1.31082938694368, `36` = -0.976337221215795, `37` = 1.70134282314234, #> `38` = -0.546953975803827, `39` = -0.158113883008419, `40` = 1.0771486960837, #> `41` = -0.158113883008419, `42` = -0.490239861940916, `43` = -0.340030131930231, #> `44` = -0.976337221215795, `45` = -0.158113883008419, `46` = -0.914104649757265, #> `47` = -1.09692040255042, `48` = -0.436274136565358, `49` = -0.386676603514146, #> `50` = -0.0983658134866668, `51` = -0.793929564138479, `52` = 0.468510675262855, #> `53` = -0.340030131930231, `54` = 1.9536629749367, `55` = 2.60558117688699, #> `56` = -0.546953975803827, `57` = -1.09692040255042, `58` = -0.158113883008419, #> `59` = -0.490239861940916, `60` = -0.976337221215795, `61` = -0.28961087492437, #> `62` = 1.4487979466996, `63` = 1.82660326764499, `64` = -0.386676603514146, #> `65` = 0.969360944759548, `66` = -0.158113883008419, `67` = -0.436274136565358, #> `68` = -0.490239861940916, `69` = 1.18850435510435, `70` = -0.976337221215795, #> `71` = -0.976337221215795, `72` = 0.863221936022845, `73` = -0.436274136565358, #> `74` = -0.490239861940916, `75` = -0.386676603514146, `76` = 0.762313939494724, #> `77` = -0.976337221215795, `78` = -0.436274136565358, `79` = -0.546953975803827, #> `80` = -0.436274136565358), type = "lasso", max.steps = 6, use.Gram = FALSE) #> R-squared: 0.187 #> Sequence of LASSO moves: #> X_train_microN X_train_microD3S1282 X_train_microD16S408 #> Var 38 12 31 #> Step 1 2 3 #> X_train_microD20S107 X_train_microD15S127 X_train_microD2S138 #> Var 4 13 16 #> Step 4 5 6 #> #> $X_larsDR #> X_train_microD20S107 X_train_microD3S1282 X_train_microD15S127 #> 1 -1.2170661 -1.018892 -0.9217968 #> 2 0.8113774 0.969190 -0.9217968 #> 3 0.8113774 -1.018892 -0.9217968 #> 4 0.8113774 -1.018892 1.0712773 #> 5 0.8113774 -1.018892 1.0712773 #> 6 0.8113774 0.969190 1.0712773 #> 7 -1.2170661 -1.018892 1.0712773 #> 8 0.8113774 -1.018892 -0.9217968 #> 9 -1.2170661 0.969190 -0.9217968 #> 10 0.8113774 -1.018892 -0.9217968 #> 11 0.8113774 -1.018892 1.0712773 #> 12 0.8113774 0.969190 1.0712773 #> 13 0.8113774 0.969190 -0.9217968 #> 14 0.8113774 0.969190 1.0712773 #> 15 -1.2170661 0.969190 -0.9217968 #> 16 -1.2170661 0.969190 1.0712773 #> 17 -1.2170661 0.969190 -0.9217968 #> 18 -1.2170661 0.969190 -0.9217968 #> 19 0.8113774 0.969190 -0.9217968 #> 20 -1.2170661 0.969190 -0.9217968 #> 21 -1.2170661 -1.018892 1.0712773 #> 22 -1.2170661 0.969190 1.0712773 #> 23 -1.2170661 -1.018892 -0.9217968 #> 24 0.8113774 -1.018892 1.0712773 #> 25 -1.2170661 0.969190 -0.9217968 #> 26 -1.2170661 -1.018892 1.0712773 #> 27 0.8113774 -1.018892 1.0712773 #> 28 -1.2170661 -1.018892 1.0712773 #> 29 -1.2170661 0.969190 1.0712773 #> 30 -1.2170661 0.969190 1.0712773 #> 31 0.8113774 -1.018892 1.0712773 #> 32 -1.2170661 0.969190 1.0712773 #> 33 -1.2170661 0.969190 -0.9217968 #> 34 0.8113774 0.969190 -0.9217968 #> 35 0.8113774 -1.018892 1.0712773 #> 36 0.8113774 -1.018892 -0.9217968 #> 37 0.8113774 -1.018892 1.0712773 #> 38 0.8113774 0.969190 1.0712773 #> 39 -1.2170661 0.969190 1.0712773 #> 40 -1.2170661 0.969190 1.0712773 #> 41 0.8113774 0.969190 1.0712773 #> 42 -1.2170661 -1.018892 -0.9217968 #> 43 -1.2170661 0.969190 1.0712773 #> 44 -1.2170661 -1.018892 1.0712773 #> 45 -1.2170661 0.969190 -0.9217968 #> 46 0.8113774 -1.018892 1.0712773 #> 47 0.8113774 -1.018892 -0.9217968 #> 48 0.8113774 0.969190 -0.9217968 #> 49 0.8113774 -1.018892 1.0712773 #> 50 0.8113774 -1.018892 -0.9217968 #> 51 0.8113774 0.969190 -0.9217968 #> 52 -1.2170661 -1.018892 -0.9217968 #> 53 -1.2170661 0.969190 -0.9217968 #> 54 0.8113774 -1.018892 1.0712773 #> 55 0.8113774 -1.018892 1.0712773 #> 56 -1.2170661 -1.018892 -0.9217968 #> 57 -1.2170661 0.969190 -0.9217968 #> 58 0.8113774 0.969190 1.0712773 #> 59 0.8113774 -1.018892 1.0712773 #> 60 0.8113774 0.969190 1.0712773 #> 61 0.8113774 -1.018892 -0.9217968 #> 62 0.8113774 -1.018892 -0.9217968 #> 63 0.8113774 -1.018892 1.0712773 #> 64 0.8113774 -1.018892 -0.9217968 #> 65 0.8113774 -1.018892 -0.9217968 #> 66 0.8113774 -1.018892 -0.9217968 #> 67 -1.2170661 0.969190 -0.9217968 #> 68 -1.2170661 0.969190 -0.9217968 #> 69 0.8113774 -1.018892 -0.9217968 #> 70 -1.2170661 0.969190 -0.9217968 #> 71 0.8113774 -1.018892 1.0712773 #> 72 0.8113774 0.969190 1.0712773 #> 73 0.8113774 -1.018892 -0.9217968 #> 74 0.8113774 0.969190 -0.9217968 #> 75 0.8113774 0.969190 -0.9217968 #> 76 0.8113774 -1.018892 1.0712773 #> 77 0.8113774 0.969190 -0.9217968 #> 78 0.8113774 0.969190 -0.9217968 #> 79 0.8113774 0.969190 -0.9217968 #> 80 -1.2170661 0.969190 -0.9217968 #> X_train_microD2S138 X_train_microD16S408 X_train_microN #> 1 1.018892 0.8543368 -0.7070698 #> 2 -0.969190 -1.1558674 -0.7070698 #> 3 -0.969190 -1.1558674 -0.7070698 #> 4 1.018892 -1.1558674 -0.7070698 #> 5 1.018892 -1.1558674 -0.7070698 #> 6 1.018892 0.8543368 -0.7070698 #> 7 1.018892 -1.1558674 -0.7070698 #> 8 -0.969190 -1.1558674 1.8640931 #> 9 1.018892 0.8543368 0.5785117 #> 10 -0.969190 -1.1558674 -0.7070698 #> 11 1.018892 -1.1558674 1.8640931 #> 12 1.018892 0.8543368 -0.7070698 #> 13 -0.969190 0.8543368 1.8640931 #> 14 1.018892 0.8543368 -0.7070698 #> 15 -0.969190 0.8543368 1.8640931 #> 16 1.018892 -1.1558674 1.8640931 #> 17 1.018892 0.8543368 0.5785117 #> 18 1.018892 0.8543368 -0.7070698 #> 19 -0.969190 0.8543368 -0.7070698 #> 20 1.018892 0.8543368 -0.7070698 #> 21 1.018892 -1.1558674 -0.7070698 #> 22 1.018892 0.8543368 -0.7070698 #> 23 -0.969190 -1.1558674 -0.7070698 #> 24 1.018892 -1.1558674 1.8640931 #> 25 1.018892 0.8543368 -0.7070698 #> 26 1.018892 0.8543368 -0.7070698 #> 27 -0.969190 0.8543368 1.8640931 #> 28 -0.969190 0.8543368 1.8640931 #> 29 -0.969190 0.8543368 -0.7070698 #> 30 1.018892 -1.1558674 -0.7070698 #> 31 -0.969190 0.8543368 0.5785117 #> 32 -0.969190 -1.1558674 -0.7070698 #> 33 -0.969190 0.8543368 -0.7070698 #> 34 -0.969190 0.8543368 0.5785117 #> 35 -0.969190 0.8543368 1.8640931 #> 36 -0.969190 0.8543368 -0.7070698 #> 37 1.018892 -1.1558674 0.5785117 #> 38 1.018892 0.8543368 0.5785117 #> 39 1.018892 -1.1558674 -0.7070698 #> 40 1.018892 -1.1558674 0.5785117 #> 41 1.018892 0.8543368 -0.7070698 #> 42 -0.969190 -1.1558674 1.8640931 #> 43 1.018892 0.8543368 -0.7070698 #> 44 1.018892 0.8543368 -0.7070698 #> 45 1.018892 0.8543368 -0.7070698 #> 46 1.018892 -1.1558674 -0.7070698 #> 47 1.018892 -1.1558674 -0.7070698 #> 48 1.018892 -1.1558674 -0.7070698 #> 49 1.018892 -1.1558674 0.5785117 #> 50 -0.969190 -1.1558674 -0.7070698 #> 51 -0.969190 0.8543368 -0.7070698 #> 52 -0.969190 -1.1558674 1.8640931 #> 53 -0.969190 0.8543368 0.5785117 #> 54 -0.969190 -1.1558674 -0.7070698 #> 55 -0.969190 -1.1558674 -0.7070698 #> 56 -0.969190 0.8543368 -0.7070698 #> 57 -0.969190 0.8543368 -0.7070698 #> 58 -0.969190 -1.1558674 -0.7070698 #> 59 1.018892 0.8543368 -0.7070698 #> 60 -0.969190 0.8543368 -0.7070698 #> 61 -0.969190 -1.1558674 0.5785117 #> 62 -0.969190 0.8543368 0.5785117 #> 63 -0.969190 -1.1558674 1.8640931 #> 64 1.018892 0.8543368 -0.7070698 #> 65 -0.969190 -1.1558674 0.5785117 #> 66 -0.969190 0.8543368 -0.7070698 #> 67 1.018892 0.8543368 -0.7070698 #> 68 1.018892 -1.1558674 1.8640931 #> 69 -0.969190 -1.1558674 -0.7070698 #> 70 -0.969190 0.8543368 0.5785117 #> 71 1.018892 -1.1558674 -0.7070698 #> 72 -0.969190 0.8543368 0.5785117 #> 73 -0.969190 0.8543368 0.5785117 #> 74 1.018892 0.8543368 -0.7070698 #> 75 -0.969190 0.8543368 0.5785117 #> 76 1.018892 -1.1558674 1.8640931 #> 77 -0.969190 0.8543368 -0.7070698 #> 78 -0.969190 0.8543368 -0.7070698 #> 79 -0.969190 0.8543368 -0.7070698 #> 80 1.018892 0.8543368 -0.7070698 #> #> $cox_larsDR #> Call: #> coxph(formula = YCsurv ~ ., data = X_larsDR) #> #> coef exp(coef) se(coef) z p #> X_train_microD20S107 0.6263 1.8706 0.4316 1.451 0.146794 #> X_train_microD3S1282 -0.2857 0.7515 0.4547 -0.628 0.529826 #> X_train_microD15S127 0.9521 2.5911 0.3834 2.483 0.013027 #> X_train_microD2S138 -1.3850 0.2503 0.4197 -3.300 0.000967 #> X_train_microD16S408 -0.7357 0.4792 0.3880 -1.896 0.057930 #> X_train_microN 0.4274 1.5332 0.2675 1.598 0.110118 #> #> Likelihood ratio test=31.8 on 6 df, p=1.784e-05 #> n= 80, number of events= 17 #>
rm(X_train_micro,Y_train_micro,C_train_micro,cox_larsDR_fit)