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PCovR: Principal Covariates Regression
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.
Getting started
Browse package contents
Package details |
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| Author | Marlies Vervloet [aut, cre], Henk Kiers [aut], Eva Ceulemans [ctb] |
| Maintainer | Kristof Meers <kristof.meers+cran@kuleuven.be> |
| License | GPL (>= 2) |
| Version | 2.7.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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