Package: plsRglm
Version: 1.0.0
Date: 2013-06-26
Depends: R (>= 2.4.0)
Imports: mvtnorm, boot, bipartite
Enhances: pls
Suggests: MASS, plsdof, R.rsp
Title: Partial least squares Regression for generalized linear models
Author: Frederic Bertrand <frederic.bertrand@math.unistra.fr>, Nicolas Meyer <Nicolas.Meyer@nmeyer@unistra.fr>, Myriam Maumy-Bertrand <myriam.maumy-bertrand@math.unistra.fr>. 
Maintainer: Frederic Bertrand <frederic.bertrand@math.unistra.fr>
Description: This package 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.
License: GPL-3
Encoding: latin1
URL: http://www-irma.u-strasbg.fr/~fbertran/
VignetteBuilder: R.rsp
Classification/MSC: 62J12, 62J99
Packaged: 2014-06-26 23:43:19 UTC; fbertran
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-06-27 06:55:18
