  We consider a finite mixture model with varying mixing probabilities. Linear
regression models are assumed for observed variables with coefficients
depending on the mixture component the observed subject belongs to. A
modification of the least-squares estimator is proposed for estimation of the
regression coefficients. Consistency and asymptotic normality of the estimates
is demonstrated.
