Limitations in detecting multicollinearity due to scaling issues in the “mcvis” package Salmerón Gómez, Román García García, Catalina Rodríguez Sánchez, Ainara García García, Claudia Multicolinealidad R package detección Transformation of the observed data is a very common practice when a troubling degree of near multicollinearity is detected in a linear regression model. However, it is important to take into account that these transformations may affect the detection of this problem, so they should not be performed systematically. In this paper we analyze the transformation of the data when applying the R package mcvis, showing that it only detects essential near multicollinearity when the studentise transformation is performed. 2024-01-03T10:44:29Z 2024-01-03T10:44:29Z 2022-12 journal article Salmerón, R., García, C.B., Rodríguez, A. and García, C. (2022). Limitations in Detecting Multicollinearity due to Scaling Issues in the mcvis Package. The R Journal, 14 (4), 264-279. https://journal.r-project.org/articles/RJ-2023-010/RJ-2023-010.pdf https://hdl.handle.net/10481/86530 https://doi.org/10.32614/RJ-2023-010 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional The R Foundation