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 (doi:10.1016/0169-7439(92)80100-I). Several rotation and model selection options are provided.
- Version2.7.2
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release10/26/2023
Team
Eva Ceulemans
Show author detailsRolesContributorMarlies Vervloet
Show author detailsRolesAuthor, MaintainerHenk Kiers
Show author detailsRolesAuthor
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- Depends4 packages
- Reverse Imports2 packages