PLS regression is another method used to handle multicollinearity. It finds a set of latent variables that are uncorrelated with each other to replace the original variables in the regression model.
PLS regression is another method used to handle multicollinearity. It finds a set of latent variables that are uncorrelated with each other to replace the original variables in the regression model.