def fit(self, maxiter=60, ctol=1e-6, start_params=None,
            params_niter=1, first_dep_update=0,
            cov_type='robust'):

        rslt = super(OrdinalGEE, self).fit(maxiter, ctol, start_params,
                                           params_niter, first_dep_update,
                                           cov_type=cov_type)

        rslt = rslt._results   # use unwrapped instance
        res_kwds = dict(((k, getattr(rslt, k)) for k in rslt._props))
        # Convert the GEEResults to an OrdinalGEEResults
        ord_rslt = OrdinalGEEResults(self, rslt.params,
                                     rslt.scale / rslt.cov_params(),
                                     rslt.scale,
                                     cov_type=cov_type,
                                     attr_kwds=res_kwds)
        #for k in rslt._props:
        #    setattr(ord_rslt, k, getattr(rslt, k))

        return OrdinalGEEResultsWrapper(ord_rslt)
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/genmod/generalized_estimating_equations.py/OrdinalGEE.fit/swapped operands of `/`