variates (linear combinations of metric independent variables) used to predict the classification of a categorical dependent variable. How It Works
Classification derives discriminant functions which maximize the between-group variance and minimize the within-group variance on the discriminant function score(s). Null hypothesis--two or more group means are equal on the discriminant function(s). How It Works
Further analysis between which groups and by which independent variables there are significant differences. WHY USE MDA?
group differences--described (profiled) the relative importance of independent variables in the classification process pick the best discriminating variables Relate to MANOVA WHEN USE MDA?