How to deal with multicollinearity when doing multiple mixture model regression
I am doing a regression model without intercept since all my predictors are part of a chemical mixture and the sum of all predictor is equal to one. I have good R2 and R2 validation but my VIF for main terms and cross-terms are way higher than 5.What is the best way to deal with this?I am using this model to predict the property of the mixture. Should I provide additional constraints for my predic...
vince_faller