PLS Examples

Example 1: Multiple Regression
This example is based on the data file Poverty.sta, which contains data for a comparison of 1960 and 1970 Census figures for a random selection of 30 counties. The purpose of this study is to identify the factors that correlate with the percent of families below the poverty level in a county (Pt_Poor), and to build a predictive model for that variable. Thus Pt_Poor will be treated as a dependent (response) variable, and the other 6 variables as continuous predictor variables.
Example 2: Multivariate Regression