The location model, which can be used in discrimination problems when the data contain both binary and continuous variables, requires separate continuous variable means to be fitted for each possible pattern of binary responses. It is suggested here that the effectiveness of this model can be investigated visually by computing the Mahalanobis distances between these groups and displaying the resultant configuration via principal coordinate analysis. The technique is illustrated on a set of breast cancer data.