  In this work, we propose a new estimation method of a Structural Equation
Model. Our method is based on the EM likelihood-maximization algorithm. We show
that this method provides estimators, not only of the coefficients of the
model, but also of its latent factors. Through a simulation study, we
investigate how fast and accurate the method is, and then apply it to real
environmental data.
