The Discriminant platform provides four methods for fitting models. All methods estimate the distance from each observation to each group's multivariate mean (centroid) using Mahalanobis distance. You can specify prior probabilities of group membership and these are accounted for in the distance calculation. Observations are classified into the closest group.