rvif: Collinearity Detection using Redefined Variance Inflation Factor and Graphical Methods Salmerón Gómez, Román García García, Catalina Multicolinealidad detección The detection of troubling approximate collinearity in a multiple linear regression model is a classical problem in Econometrics. The objective of this package is to detect it using the variance inflation factor redefined and the scatterplot between the variance inflation factor and the coefficient of variation. For more details see Salmerón, R., García, C.B, García J. (2023, https://arxiv.org/abs/2005.02245). 2024-01-29T10:23:54Z 2024-01-29T10:23:54Z 2022-12-22 other Salmerón, R. and García, C.B. (2022). rvif: Collinearity Detection using RVIF and Graphical Methods. R package version 1.0, url: https://CRAN.R-project.org/package=rvif. https://cran.r-project.org/web/packages/rvif/rvif.pdf https://CRAN.R-project.org/package=rvif https://hdl.handle.net/10481/87458 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional The Comprehensive R Archive Network (CRAN)