ccc5fbf3c100e2e54cf9b7b1a7218fc7ef034611,linearmodels/panel/model.py,PooledOLS,fit,#PooledOLS#Any#,308

Before Change

            mu = 0
        total_ss = float((y - mu).T @ (y - mu))
        r2 = 1 - resid_ss / total_ss
        r2w, r2b = self._rsquared(params)
        entity_info, time_info = self._info()
        res = AttrDict(params=params, deferred_cov=cov.deferred_cov,
                       debiased=debiased, df_resid=df_resid,
                       df_model=x.shape[1], nobs=y.shape[0],
                       name=self._name, var_names=self.exog.vars,
                       residual_ss=resid_ss, total_ss=total_ss,
                       r2=r2, r2w=r2w, r2b=r2b, s2=cov.s2,
                       entity_info=entity_info, time_info=time_info)
        return PanelResults(res)


class BetweenOLS(PooledOLS):

After Change

            mu = 0
        total_ss = float((y - mu).T @ (y - mu))
        r2 = 1 - resid_ss / total_ss
        res = self._postestimation(params, cov, debiased)
        res.update(dict(df_resid=df_resid, df_model=x.shape[1], nobs=y.shape[0],
                       residual_ss=resid_ss, total_ss=total_ss, r2=r2))
        return PanelResults(res)


class BetweenOLS(PooledOLS):

Instances