def METHOD_NAME(self):
    res1 = self.res1
    res2 = self.res2
    # location
    assert_allclose(res1.params[:-2], res2.loc_fit.coefficients, atol=3e-5)
    assert_allclose(res1.bse[:-2], res2.loc_fit.table[:, 1], rtol=0.003, atol=1e-5)
    assert_allclose(res1.tvalues[:-2], res2.loc_fit.table[:, 2], rtol=0.003, atol=1e-5)
    assert_allclose(res1.pvalues[:-2], res2.loc_fit.table[:, 3], rtol=0.009, atol=1e-5)
    # df
    assert_allclose(res1.params[-2], res2.dof, rtol=5e-5)
    assert_allclose(res1.bse[-2], res2.dofse, rtol=0.16, atol=1e-5)
    # scale
    scale_est = np.sqrt(res2.scale_fit.fitted_values.mean())
    assert_allclose(res1.params[-1], scale_est, atol=1e-5)
    assert_allclose(res1.llf, res2.logLik, atol=1e-5)