Multivariate data

How to use a tour to check if your model suffers from multicollinearity

Multicollinearity This was one of the comments from a recent review of a paper: As you note in the paper, it seems likely that there are still issues with multi-collinearity Multicollinearity means that the observations are co-linear in some combination of the variables. This has been relaxed in practice to mean substantial association between explanatory variables. When your explanatory variables have substantial association between them, it means that you don’t have a stable base on which to build a model.