The video tutorial discusses reducing the dimensions of numeric variables, similar to categorical inputs. It covers feature selection using SAS procedures, focusing on clustering techniques and options. The tutorial explains how to interpret clustering output and select variables based on correlation and R-squared values. It also touches on binning numeric variables for better analysis.

How do you determine which variable to select from a cluster?

What role does the 1 - R^2 ratio play in variable selection?

Discuss the potential benefits of binning numeric variables.