multiColl: Collinearity Detection in a Multiple Linear Regression Model Salmerón Gómez, Román García García, Catalina Multicolinealidad detección 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. 2024-01-30T09:36:03Z 2024-01-30T09:36:03Z 2022-07-21 info:eu-repo/semantics/other 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. https://CRAN.R-project.org/package=multiColl https://cran.r-project.org/web/packages/multiColl/multiColl.pdf https://hdl.handle.net/10481/87566 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional The Comprehensive R Archive Network (CRAN)