Using Partial Least Squares: When Ordinary Least Squares Regression Just Won’t Work 

Learn to use Partial Least Squares (PLS) in situations where ordinary least squares regression techniques do not produce satisfactory results, such as when there are more explanatory variables than observations, highly correlated explanatory variables and responses, and a large number of explanatory variables. See several case studies where PLS is used by JMP Pro for variable identification, reduction and predictive modeling optimization problems.

This webinar covers: Fitting and evaluating Partial Least Squares models and using the Prediction Profiler.