The structure selection of stochastic dynamic models by the predictive least squares (PLS) criterion introduced by Rissanen and Wertz (1985) is investigated in this paper in view of its relations to the bayesian estimator and to information criteria with a penalty term. It is shown that in the autoregressive case the strong consistency of the PLS criterion can be derived from the strong consistency of the bayesian order estimator.