Summary method for plsRglm models

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

# S3 method for 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. 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]
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(dataY = yCornell, dataX = XCornell, nt = 3, 
#>     modele = "pls-glm-gaussian")
rm(list=c("XCornell","yCornell","modplsglm"))