PCR is a technique used to deal with multicollinearity by creating new variables, known as principal components, that are uncorrelated with each other to replace the original variables in the regression model.
PCR is a technique used to deal with multicollinearity by creating new variables, known as principal components, that are uncorrelated with each other to replace the original variables in the regression model.