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. Several rotation options are provided in this package, as well as model selection options.
| Version: | 2.7 |
| Depends: | GPArotation, ThreeWay, MASS, stats, graphics, Matrix |
| Published: | 2017-06-19 |
| Author: | Marlies Vervloet [aut, cre], Henk Kiers [aut], Eva Ceulemans [ctb] |
| Maintainer: | Marlies Vervloet <marlies.vervloet at ppw.kuleuven.be> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | PCovR citation info |
| CRAN checks: | PCovR results |
| Reference manual: | PCovR.pdf |
| Package source: | PCovR_2.7.tar.gz |
| Windows binaries: | r-devel: PCovR_2.7.zip, r-release: PCovR_2.7.zip, r-oldrel: PCovR_2.7.zip |
| OS X binaries: | r-release: PCovR_2.7.tgz, r-oldrel: PCovR_2.7.tgz |
| Old sources: | PCovR archive |
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