This function provides a summary method for the class
"cv.plsRglmmodel"
Usage
# S3 method for class 'cv.plsRglmmodel'
summary(object, ...)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. https://www.numdam.org/item/JSFS_2010__151_2_1_0/
Author
Frédéric Bertrand
frederic.bertrand@lecnam.net
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 0.8768878 0.0975 0.8768878 57.59147
#> Nb_Comp_2 31.46903 33.40866 0.7420926 0.0975 -1.0948972 74.87683
#> Nb_Comp_3 31.54404 33.96857 -0.1274405 0.0975 -3.3714938 21.71247
#> Nb_Comp_4 33.20141 36.11085 -2.6516402 0.0975 -2.2388763 13.70269
#> Nb_Comp_5 33.25554 36.64989 -11.0163277 0.0975 -2.2906659 13.52993
#> 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: object 'bbb' not found