Smoothed location model is a discriminant analysis which can be used to handle the data
involving mixtures of continuous and binary variables simultaneously. This model is
introduced to handle the problem of some empty cells due to the increasing of binary
variables. However, smoothed location model is infeasible if involve large number of binary
variables. Therefore, the combination of two variable extraction approaches, principal
component analysis and multiple correspondence analysis are carried out before the …