summary.plsRcoxmodel: Summary method for plsRcox models

In plsRcox: Partial Least Squares Regression for Cox Models and Related Techniques

Summary method for plsRcox models

Description

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

Usage

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

Arguments

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

Value

call	function call of plsRcox models

Author(s)

Frédéric Bertrand
[e-mail]
https://fbertran.github.io/homepage/

References

plsRcox, Cox-Models in a high dimensional setting in R, Frederic Bertrand, Philippe Bastien, Nicolas Meyer and Myriam Maumy-Bertrand (2014). Proceedings of User2014!, Los Angeles, page 152.

Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data, Philippe Bastien, Frederic Bertrand, Nicolas Meyer and Myriam Maumy-Bertrand (2015), Bioinformatics, 31(3):397-404, doi:10.1093/bioinformatics/btu660.

See Also

summary

Examples

data(micro.censure)
data(Xmicro.censure_compl_imp)

X_train_micro <- apply((as.matrix(Xmicro.censure_compl_imp)),FUN="as.numeric",MARGIN=2)[1:80,]
Y_train_micro <- micro.censure$survyear[1:80]
C_train_micro <- micro.censure$DC[1:80]

modpls <- plsRcox(X_train_micro,time=Y_train_micro,event=C_train_micro,nt=3)
summary(modpls)

plsRcox documentation built on Feb. 28, 2026, 9:06 a.m.