multiColl: Collinearity Detection in a Multiple Linear Regression Model

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URI: https://hdl.handle.net/10481/87566
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Autor
Salmerón Gómez, Román; García García, Catalina
Editorial
The Comprehensive R Archive Network (CRAN)
Materia
Multicolinealidad
 
detección
 
Fecha
2022-07-21
Referencia bibliográfica
Salmerón, R., García, C.B. and García, J. (2022). multiColl: Collinearity Detection in a Multiple Linear Regression Model. R package version 2.0, url: https://CRAN.R-project.org/package=multiColl.
Resumen
The detection of worrying approximate collinearity 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.
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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