  This work presents a guide for the use of some of the functions of the
multiColl package in R for the detection of near-multicollinearity. The main
contribution, in comparison to other existing packages in R or other
econometric software, is the treatment of qualitative independent variables and
the intercept in the simple/multiple linear regression model. The main goal of
this paper is to show the advantages of the multiColl package in R, comparing
its results with the results obtained by other existing packages in R for the
treatment of multicollinearity.
