The multiColl package versus other existing packages in R to detect multicollinearity Salmerón Gómez, Román García García, Catalina García Pérez, José Multicolinealidad R package detección simple linear regression The main goal of this paper is to show the advantages of the multiColl package in R, comparing its results with other existing packages in R for the treatment of multicollinearity. The main contributions of this paper can be summarized as follows: a) It was clarified that not all measures are adequate to detect all kinds of multicollinearity; b) When the model contains non-quantitative variables, unlike other packages existing in R analyzed in this paper, the multiColl package allows us to obviate this kind of variable; and c) The superiority of the multiColl package has been shown in comparison to other packages existing in R (except for the colldiag command of the perturb package) to detect the degree of multicollinearity existing in a simple linear regression. 2024-01-03T10:48:34Z 2024-01-03T10:48:34Z 2021-07-26 journal article Salmerón, R., García, C.B. and García, J. (2022). The multiColl Package Versus Other Existing Packages in R to Detect Multicollinearity. Computational Economics, 60, 439–450. https://hdl.handle.net/10481/86534 https://doi.org/10.1007/s10614-021-10154-1 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Springer