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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.7.2 |
rolling source/ R- | PCovR_2.7.2.tar.gz |
19.3 KiB |
2.7.2 |
latest source/ R- | PCovR_2.7.2.tar.gz |
19.3 KiB |
2.7.2 |
2026-04-09 windows/windows R-4.5 | PCovR_2.7.2.zip |
92.6 KiB |