ABSTRACT
Unlike the case of incidence data, dominance data are comparisons of variables, that is, judgments of equality and inequality. Thus, if we want to extend forced classification to dominance data, the criterion must be a pair of variables, rather than a single variable. With a pair, there will be only one proper component, that is, the component that maximizes the difference between variables in the criterion pair.
