Summary method for plsRglm models

Source: R/summary.cv.plsRglmmodel.R

This function provides a summary method for the class "cv.plsRglmmodel"

# S3 method for cv.plsRglmmodel
summary(object, ...)

Arguments

object

an object of the class "cv.plsRglmmodel"
...

further arguments to be passed to or from methods.

Value

An object of class "summary.cv.plsRmodel" if model is missing or model="pls". Otherwise an object of class "summary.cv.plsRglmmodel".

References

Nicolas Meyer, Myriam Maumy-Bertrand et Frédéric Bertrand (2010). Comparing the linear and the logistic PLS regression with qualitative predictors: application to allelotyping data. Journal de la Societe Francaise de Statistique, 151(2), pages 1-18. http://publications-sfds.math.cnrs.fr/index.php/J-SFdS/article/view/47

See also

summary

Author

Frédéric Bertrand
frederic.bertrand@utt.fr
https://fbertran.github.io/homepage/

Examples


data(Cornell)
XCornell<-Cornell[,1:7]
yCornell<-Cornell[,8]
summary(cv.plsRglm(Y~.,data=Cornell,nt=10,NK=1,
modele="pls-glm-family",family=gaussian(), verbose=FALSE))

#> ____************************************************____
#> 
#> Family: gaussian 
#> Link function: identity 
#> 
#> ____Component____ 1 ____
#> ____Component____ 2 ____
#> ____Component____ 3 ____
#> ____Component____ 4 ____
#> ____Component____ 5 ____
#> ____Component____ 6 ____
#> Warning : 1 2 3 4 5 6 7 < 10^{-12}
#> Warning only 6 components could thus be extracted
#> ____Predicting X without NA neither in X or Y____
#> ****________________________________________________****
#> 
#> 
#> NK: 1
#> [[1]]
#>                AIC      BIC Q2Chisqcum_Y  limQ2  Q2Chisq_Y PREChi2_Pearson_Y
#> Nb_Comp_0 82.01205 82.98186           NA     NA         NA                NA
#> Nb_Comp_1 53.15173 54.60645    0.9000139 0.0975  0.9000139          46.77318
#> Nb_Comp_2 31.46903 33.40866    0.9270687 0.0975  0.2705864          26.07106
#> Nb_Comp_3 31.54404 33.96857    0.6865217 0.0975 -3.2982719          21.34879
#> Nb_Comp_4 33.20141 36.11085   -0.9301386 0.0975 -5.1571673          26.04909
#> Nb_Comp_5 33.25554 36.64989  -12.7768058 0.0975 -6.1377288          29.34754
#> Nb_Comp_6 35.25533 39.13459           NA 0.0975         NA                NA
#>           Chi2_Pearson_Y      RSS_Y      R2_Y
#> Nb_Comp_0     467.796667 467.796667        NA
#> Nb_Comp_1      35.742486  35.742486 0.9235940
#> Nb_Comp_2       4.966831   4.966831 0.9893825
#> Nb_Comp_3       4.230693   4.230693 0.9909561
#> Nb_Comp_4       4.111608   4.111608 0.9912107
#> Nb_Comp_5       3.496135   3.496135 0.9925264
#> Nb_Comp_6       3.496074   3.496074 0.9925265
#> 
#> attr(,"class")
#> [1] "summary.cv.plsRglmmodel"
rm(list=c("XCornell","yCornell","bbb"))

#> Warning: objet 'bbb' introuvable