Packaged: Tue Nov 16 09:26:12 2004; rwehrens

Packaged: Fri Apr  1 09:34:03 2005; rwehrens

Title: Partial least squares Regression for beta regression models
Author: Frederic Bertrand <frederic.bertrand@math.unistra.fr>, Myriam Maumy-Bertrand <myriam.maumy-bertrand@math.unistra.fr>, Nicolas Meyer <Nicolas.Meyer@nmeyer@unistra.fr>.
Description: This package provides Partial least squares Regression for beta regression 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.

Description: This package provides Partial least squares Regression for
(weighted) beta regression models and kfold crossvalidation of
such models using various criteria. It allows for missing data
in the eXplanatory variables. Bootstrap confidence intervals

Imports: mvtnorm, boot, Formula, plsdof, MASS, plsRglm, betareg
Description: This package provides Partial least squares Regression for (weighted) beta regression models and 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.

Imports: mvtnorm, boot, Formula, plsdof, MASS, betareg, plsRglm
Title: Partial Least Squares Regression for Beta Regression Models
Description: Provides Partial least squares Regression for (weighted) beta regression models and 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.

Imports: mvtnorm, boot, Formula, plsdof, MASS, plsRglm, betareg,

Imports: mvtnorm, boot, Formula, MASS, plsRglm, betareg, methods
Description: Provides Partial least squares Regression for (weighted) beta regression models (Bertrand 2013,  <http://journal-sfds.fr/article/view/215>) and 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.