plsRglm: Partial Least Squares Regression for Generalized Linear Models
Version 1.1.1

Provides (weighted) Partial least squares Regression for generalized linear models and repeated k-fold cross-validation of such models using various criteria. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.

Getting started

Package details

AuthorFrederic Bertrand <[email protected]>, Nicolas Meyer <[email protected]@unistra.fr>, Myriam Maumy-Bertrand <[email protected]>.
Date of publication2014-12-17 02:19:56
MaintainerFrederic Bertrand <[email protected]>
LicenseGPL-3
Version1.1.1
URL http://www-irma.u-strasbg.fr/~fbertran/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("plsRglm")

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plsRglm documentation built on May 29, 2017, 9:15 p.m.