R package for multicollinearity management in data frames with numeric and categorical variables.
Deep explanation of what Variance Inflation Factors (VIF) are, how they work, what they really mean, and how they are used to manage multicollinearity in linear models.
In this post, I delve into the intricacies of model interpretation under the influence of multicollinearity, and use R and a toy data set to demonstrate how this phenomenon impacts both linear and machine learning models.