@misc{10481/86534,
year = {2021},
month = {7},
url = {https://hdl.handle.net/10481/86534},
abstract = {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.},
organization = {This work has been supported by project PP2019-EI-02 of the University of Granada, Spain.},
publisher = {Springer},
keywords = {Multicolinealidad},
keywords = {R package},
keywords = {detección},
keywords = {simple linear regression},
title = {The multiColl package versus other existing packages in R to detect multicollinearity},
doi = {https://doi.org/10.1007/s10614-021-10154-1},
author = {Salmerón Gómez, Román and García García, Catalina and García Pérez, José},
}