summary.cv.plsRglmmodel: Summary method for plsRglm models

In plsRglm: Partial Least Squares Regression for Generalized Linear Models

Summary method for plsRglm models

Description

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

Usage

## S3 method for class '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".

Author(s)

Frédéric Bertrand
[e-mail]
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"))

plsRglm documentation built on March 31, 2023, 11:10 p.m.