plsRglm (0.8.2)

Partial least squares Regression for generalized linear models.

http://www-irma.u-strasbg.fr/~fbertran/
http://cran.r-project.org/web/packages/plsRglm

This package provides Partial least squares Regression for (weighted) generalized linear models and kfold crossvalidation 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 <frederic.bertrand@math.unistra.fr>, Nicolas Meyer <Nicolas.Meyer@nmeyer@unistra.fr>, Myriam Maumy-Bertrand <myriam.maumy-bertrand@math.unistra.fr>.

License: GPL-3

Uses: bipartite, boot, mvtnorm, MASS, plsdof
Enhances: pls
Reverse depends: plsRbeta
Reverse suggests: plsRcox
Reverse enhances: plsRbeta, plsRcox

Released over 6 years ago.