A mixed model �is orthogonal when the matrices � �commute. The vectors �are fixed vectors and the �and e are random. We now intend to present an approach based on model estimation taking � �with L a matrix whose column vectors are linearly independent. The model �is an extension of the core mixed model. In this paper, we obtain the exact formulae to validate variance component estimators in normal mixed models. An application is also given.