plsRglm: Partial Least Squares Regression for Generalized Linear Models

Provides (weighted) Partial least squares Regression for generalized linear models and repeated k-fold cross-validation of such models using various criteria <arXiv:1810.01005>. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.

Package details

AuthorFrederic Bertrand [cre, aut] (<>), Myriam Maumy-Bertrand [aut] (<>)
MaintainerFrederic Bertrand <>
Package repositoryView on CRAN
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plsRglm documentation built on March 31, 2023, 11:10 p.m.