multiColl-package: Collinearity detection in a multiple linear regression model.

In multiColl: Collinearity detection in a multiple linear regression model

Description

R package to detect collinearity in a multiple linear regression model.

Details

The detection of worrying approximate multicollinearity in a multiple linear regression model is a problem addressed in all existing statistical packages. However, we have detected deficits regarding to the incorrect treatment of qualitative independent variables and the role of the intercept of the model. The objective of this package is to correct these deficits. In this package will be available detection and treatment techniques traditionally used as the recently developed.

Author(s)

Rom<e1>n Salmer<f3>n G<f3>mez (University of Granada), Catalina Garc<ed>a Garc<ed>a (University of Granada) and Jos<e9> Garc<ed>a Garc<ed>a (University of Almer<ed>a).

References

multiColl: An R Package for Detecting Multicollinearity. Working paper.

multiColl documentation built on May 2, 2019, 4:53 p.m.