If we interpret model selection as search, we can interpret the template parameter F as the search evaluation criterion. A choice for F should denote a function object that returns a numerical value whenever it is given a subset of predictor variables.

For the linear model selection class RWLinRegModelSelector<F>, the Business Analysis Module supplies the function object class RWLinRegressFStatistic. It returns the F statistic value for the given predictor variable subset. (See Significance of Predictor Variables.) If a different evaluation criterion is desired, refer to the discussion on writing your own function objects in Writing Your Own Function Objects.

For the class RWLogRegModelSelector<F>, the Business Analysis Module supplies the logistic regression function object class RWGPValueFunctor. It returns the p-value of the predictor variable subset based on the G statistic. (See G Statistic.). Again, if a different evaluation criterion is desired, refer below to the discussion on writing your own function objects.