A Primer On Partial Least Squares
Partial Least Squares, often abbreviated as PLS, is a versatile statistical method widely used in data analysis, particularly when researchers face complex datasets with many variables and multicollinearity issues. Unlike traditional regression techniques that require independent variables to be uncorrelated, PLS can handle situations where predictors are highly correlated or when the number of variables … Read more