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The plsdof package provides Degrees of Freedom estimates for Partial Least Squares (PLS) Regression. Model selection for PLS is based on various information criteria (aic, bic, gmdl) or on cross-validation. Estimates for the mean and covariance of the PLS regression coefficients are available. They allow the construction of approximate confidence intervals and the application of test procedures (Kramer and Sugiyama 2012 <doi:10.1198/jasa.2011.tm10107>). Further, cross-validation procedures for Ridge Regression and Principal Components Regression are available.
| Version: | 0.3-2 |
| Depends: | MASS |
| Published: | 2022-11-30 |
| Author: | Nicole Kraemer, Mikio L. Braun |
| Maintainer: | Frederic Bertrand <frederic.bertrand at utt.fr> |
| BugReports: | https://github.com/fbertran/plsdof/issues/ |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/fbertran/plsdof/, https://fbertran.github.io/plsdof/ |
| NeedsCompilation: | no |
| Citation: | plsdof citation info |
| Materials: | README NEWS ChangeLog |
| CRAN checks: | plsdof results |
| Reference manual: | plsdof.pdf |
| Package source: | plsdof_0.3-2.tar.gz |
| Windows binaries: | r-devel: plsdof_0.3-2.zip, r-release: plsdof_0.3-2.zip, r-oldrel: plsdof_0.3-2.zip |
| macOS binaries: | r-release (arm64): plsdof_0.3-2.tgz, r-oldrel (arm64): plsdof_0.3-2.tgz, r-release (x86_64): plsdof_0.3-2.tgz, r-oldrel (x86_64): plsdof_0.3-2.tgz |
| Old sources: | plsdof archive |
| Reverse suggests: | bootPLS, plsRbeta, plsRcox, plsRglm |
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These binaries (installable software) and packages are in development.
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