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.
| Version: |
1.1.1 |
| Depends: |
R (≥ 2.4.0) |
| Imports: |
mvtnorm, boot, bipartite, car |
| Suggests: |
MASS, plsdof, R.rsp, chemometrics, plsdepot |
| Enhances: |
pls |
| Published: |
2014-12-17 |
| Author: |
Frederic Bertrand, Nicolas Meyer, Myriam Maumy-Bertrand. |
| Maintainer: |
Frederic Bertrand <frederic.bertrand at math.unistra.fr> |
| BugReports: |
NA |
| License: |
GPL-3 |
| URL: |
http://www-irma.u-strasbg.fr/~fbertran/ |
| NeedsCompilation: |
no |
| Classification/MSC: |
62J12, 62J99 |
| Citation: |
plsRglm citation info |
| Materials: |
NEWS |
| CRAN checks: |
plsRglm results |