Provides a method of evaluating multiple process inputs without the use of a designed experiment. Best subsets regression is a highly automated "black-box" solution that automatically determines which inputs provide the best predictive model for the output.
|When to Use||Purpose|
|Mid-project||In projects where testing of multiple inputs is not done using a designed experiment, use best subsets regression to determine which inputs are the key inputs.|
Continuous Y, numeric X's (Note: You can convert categorical X's into indicator variables.)