A Guide to Using the R Package “multiColl” for Detecting Multicollinearity
Metadatos
Mostrar el registro completo del ítemEditorial
Springer Nature
Materia
Multicollinearity Detection Intercept Dummy Software
Fecha
2020Referencia bibliográfica
Published version: Salmerón-Gómez, R., García-García, C. & García-Pérez, J. A. Guide to Using the R Package “multiColl” for Detecting Multicollinearity. Comput Econ 57, 529–536 (2021). https://doi.org/10.1007/s10614-019-09967-y
Resumen
The detection of problematic collinearity in a linear regression model is treated in all the existing statistical software packages. However, such detection is not always done adequately. The main shortcomings relate to treatment of independent qualitative variables and completely ignoring the role of the intercept in the model (consequently, ignoring the nonessential collinearity). This paper presents the R package multiColl, which implements the usually applied measures for detecting near collinearity while overcoming the weaknesses observed in other existing packages.