b0de6536107cc932a7e5e046d07ae4adf910bbde,linearmodels/panel/model.py,PooledOLS,fit,#PooledOLS#Any#,267

Before Change

    def fit(self, debiased=False):
        y = self.dependent.values2d
        x = self.exog.values2d
        params = pinv(x) @ y
        df_resid = y.shape[0] - x.shape[1]
        cov = HomoskedasticCovariance(y, x, params, df_resid)
        from linearmodels.utility import AttrDict

After Change

        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],

Instances