plsRglm (version 1.5.1)

summary.cv.plsRglmmodel: Summary method for plsRglm models

Description

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

Usage

# S3 method for 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".

Arguments

object

an object of the class "cv.plsRglmmodel"

...

further arguments to be passed to or from methods.

Author

Frédéric Bertrand

https://fbertran.github.io/homepage/

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

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))
rm(list=c("XCornell","yCornell","bbb"))