PCovR: Principal Covariates Regression (original) (raw)
Analyzing regression data with many and/or highly collinear predictor variables, by simultaneously reducing the predictor variables to a limited number of components and regressing the criterion variables on these components (de Jong S. & Kiers H. A. L. (1992) <doi:10.1016/0169-7439(92)80100-I>). Several rotation and model selection options are provided.
| Version: | 2.7.2 |
|---|---|
| Depends: | GPArotation, ThreeWay, MASS, stats, graphics, Matrix |
| Published: | 2023-10-26 |
| DOI: | 10.32614/CRAN.package.PCovR |
| Author: | Marlies Vervloet [aut, cre], Henk Kiers [aut], Eva Ceulemans [ctb] |
| Maintainer: | Kristof Meers <kristof.meers+cran at kuleuven.be> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | PCovR results |
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