On a scale of statistical complexity, the seemingly unrelated regression equations (SURE) model is one step up from the linear-regression model. The essential feature that distinguishes the two models is that in the former model the disturbances are contemporaneously correlated whereas in the latter model the disturbances are assumed independent.