Methodology was proposed and investigated with regard to (1) selecting both single and multiple moderators and (2) conditions under which we can expect a gain from the use of generalized nonlinear regression surfaces. A more general classification procedure which follows Tatsuoka's development was suggested as a means of combining information from both moderators and predictors into one probability statement.