simDataMTest

<p>This data set helps testing functions in MTest package, the generating process is documented in the reference.</p>

datasets

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>.

V<c3><ad>ctor Morales-O<c3><b1>ate

MTest

A Procedure for Multicollinearity Testing using Bootstrap

Víctor Morales-Oñate

Bolívar Morales-Oñate

simDataMTest function

<p>A dataframe containing 10000 observations and four columns.</p>

simDataMTest: Simulated data for MTest

Description

Usage

Arguments

Format

References