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PCovR
View on CRAN: Click
here
Download and install PCovR package within the R console
Install from CRAN:
install.packages("PCovR")
Install from Github:
library("remotes")
install_github("cran/PCovR")
Install by package version:
library("remotes")
install_version("PCovR", "2.7.2")
Attach the package and use:
library("PCovR")
Maintained by
Kristof Meers
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-03-20
Latest Update: 2023-10-26
Description:
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) ). Several rotation and model selection options are provided.
How to cite:
Kristof Meers (2013). PCovR: Principal Covariates Regression. R package version 2.7.2, https://cran.r-project.org/web/packages/PCovR. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Other R packages that PCovR depends,
imports, suggests or enhances
Complete documentation for PCovR
Functions, R codes and Examples using
the PCovR R package
Some associated functions: ErrorRatio . PCovR-package . SortLoadings . alexithymia . pcovr . pcovr_est . promin . psychiatrists . tarrotob . wvarim .
Some associated R codes: ErrorRatio.R . SortLoadings.R . pcovr.R . pcovr.default.R . pcovr_est.R . plot.pcovr.R . print.pcovr.R . promin.R . summary.pcovr.R . tarrotob.R . wvarim.R . Full PCovR package functions and examples
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