A distance based regression model for prediction with mixed data

Abstract

A multiple regression method based on distance analysis and metric scaling is proposed and studied. This method allow us to predict a continuous response variable from several explanatory variables, is compatible with the general linear model and is found to be useful when the predictor variables are both continuous and categorical. Real data examples are given to illustrate the results obtained.

Keywords:

• distance analysis
• principal coordinate analysis
• multiple linear regression
• mixed qualitative and quantitative data
• principal component regression