Provides (weighted) Partial least squares Regression for generalized linear models and repeated k-fold cross-validation of such models using various criteria <doi:10.48550/arXiv.1810.01005>. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.
| Version: |
1.6.0 |
| Depends: |
R (≥ 2.10) |
| Imports: |
mvtnorm, boot, bipartite, car, MASS |
| Suggests: |
chemometrics, plsdof, plsdepot, plspm, plsRcox, R.rsp, testthat (≥ 3.0.0) |
| Enhances: |
pls |
| Published: |
2025-09-12 |
| DOI: |
10.32614/CRAN.package.plsRglm |
| Author: |
Frederic Bertrand 
[cre, aut],
Myriam Maumy-Bertrand
[aut] |
| Maintainer: |
Frederic Bertrand <frederic.bertrand at lecnam.net> |
| BugReports: |
https://github.com/fbertran/plsRglm/issues/ |
| License: |
GPL-3 |
| URL: |
https://fbertran.github.io/plsRglm/,
https://github.com/fbertran/plsRglm/ |
| NeedsCompilation: |
no |
| Classification/MSC: |
62J12, 62J99 |
| Citation: |
plsRglm citation info |
| Materials: |
NEWS |
| In views: |
MissingData |
| CRAN checks: |
plsRglm results |