multiColl swMATH ID: 30768 Software Authors: Román Salmerón, Catalina García, José García Description: R package multiColl: Collinearity Detection in a Multiple Linear Regression Model. 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. D.A. Belsley (1982) <doi:10.1016/0304-4076(82)90020-3>. D. A. Belsley (1991, ISBN: 978-0471528890). C. Garcia, R. Salmeron and C.B. Garcia (2019) <doi:10.1080/00949655.2018.1543423>. R. Salmeron, C.B. Garcia and J. Garcia (2018) <doi:10.1080/00949655.2018.1463376>. G.W. Stewart (1987) <doi:10.1214/ss/1177013444>. Homepage: https://cran.r-project.org/web/packages/multiColl/index.html Source Code: https://github.com/cran/multiColl Dependencies: R Keywords: arXiv_stat.CO; arXiv_stat.ME; R; R package; multicollinearity; Multiple Linear Regression Model; Detection; Intercept; Dummy; econometric software Related Software: R; mctest; car; perturb; Stata; SPSS; gretl Cited in: 2 Documents Standard Articles 1 Publication describing the Software Year "multiColl": An R package to detect multicollinearity Román Salmerón, Catalina García, José García 2019 Cited by 3 Authors 2 García, Catalina García 2 Rodríguez-Sánchez, Ainara 2 Salmerón Gómez, Roman Cited in 1 Serial 2 Computational Statistics Cited in 1 Field 2 Statistics (62-XX) Citations by Year