MTest: A Procedure for Multicollinearity Testing using Bootstrap

Functions for detecting multicollinearity. This test gives statistical support to two of the most famous methods for detecting multicollinearity in applied work: Klein’s rule and Variance Inflation Factor (VIF). See the URL for the papers associated with this package, as for instance, Morales-Oñate and Morales-Oñate (2015) <doi:10.33333/rp.vol51n2.05>.

Version: 1.0.2
Depends: R (≥ 4.1.0)
Imports: car, ggplot2, plotly
Published: 2023-10-06
DOI: 10.32614/CRAN.package.MTest
Author: Víctor Morales-Oñate ORCID iD [aut, cre], Bolívar Morales-Oñate ORCID iD [aut]
Maintainer: Víctor Morales-Oñate <victor.morales at>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: MTest results


Reference manual: MTest.pdf


Package source: MTest_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MTest_1.0.2.tgz, r-oldrel (arm64): MTest_1.0.2.tgz, r-release (x86_64): MTest_1.0.2.tgz, r-oldrel (x86_64): MTest_1.0.2.tgz
Old sources: MTest archive


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