Summary method for plsRglm models

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

Usage

# S3 method for class 'plsRglmmodel'
summary(object, ...)

Arguments

object: an object of the class "plsRglmmodel"
...: further arguments to be passed to or from methods.

Value

call: function call of 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]
modplsglm <- plsRglm(yCornell,XCornell,3,modele="pls-glm-gaussian")
#> ____************************************************____
#> 
#> Family: gaussian 
#> Link function: identity 
#> 
#> ____Component____ 1 ____
#> ____Component____ 2 ____
#> ____Component____ 3 ____
#> ____Predicting X without NA neither in X nor in Y____
#> ****________________________________________________****
#> 
class(modplsglm)
#> [1] "plsRglmmodel"
summary(modplsglm)
#> Call:
#> plsRglmmodel.default(dataX = XCornell, nt = 3, modele = "pls-glm-gaussian", 
#>     dataY = yCornell)
rm(list=c("XCornell","yCornell","modplsglm"))