Package: plsRglm
Version: 1.1.1
Date: 2014-12-12
Depends: R (>= 2.4.0)
Imports: mvtnorm, boot, bipartite, car
Enhances: pls
Suggests: MASS, plsdof, R.rsp, chemometrics, plsdepot
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: 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: 2014-12-16 00:38:14 UTC; fbertran
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-12-17 02:19:56
Built: R 3.2.5; ; 2017-04-20 09:03:16 UTC; windows
