Examples Create a model structure parametrized in canonical form.
This function converts any model in theta format to a canonically parameterized state-space model, also in theta format. It is useful when a model has been obtained in some way, and you want to use it as an initial model for prediction error estimation using pem . The given model, which can be any model in theta format. The resulting model, also in theta format. A canonical parametrization in observer form, based on the pseudo-observability indices orders .