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>.
