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 . It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.

Reference manual

install.packages("plsRglm")

1.7.1 by Frederic Bertrand, 4 months ago

https://fbertran.github.io/plsRglm/, https://github.com/fbertran/plsRglm

Report a bug at https://github.com/fbertran/plsRglm/issues

Browse source code at https://github.com/cran/plsRglm

Authors: Frederic Bertrand [cre, aut] (ORCID: , Myriam Maumy-Bertrand [aut] (ORCID:

Documentation: PDF Manual

GPL-3 license

Imports mvtnorm, boot, bipartite, car, MASS, Rcpp

Suggests chemometrics, knitr, plsdof, plsdepot, plspm, fastglm, plsRcox, rmarkdown, testthat, xtable

Enhances pls

Linking to Rcpp, RcppArmadillo

Imported by bootPLS, missPLS, plsRbeta, plsRcox.

Suggested by bigPLSR.

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