 It is called a latent class model because the latent variable is discrete.A class is characterized by a pattern of conditional probabilities that indicate the chance that variables take on certain values.Latent class analysis (LCA) is a subset of structural equation modeling, used to find groups or subtypes of cases in multivariate categorical data.