plsRglm (1.2.1)

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.

Maintainer: Frederic Bertrand
Author(s): Frederic Bertrand [cre, aut] (<>), Myriam Maumy-Bertrand [aut] (<>)

License: GPL-3

Uses: bipartite, boot, car, mvtnorm, R.rsp, chemometrics, MASS, plsdof, plsdepot
Enhances: pls
Reverse depends: plsRbeta
Reverse suggests: plsRcox
Reverse enhances: plsRbeta, plsRcox

Released over 1 year ago.