b0de6536107cc932a7e5e046d07ae4adf910bbde,linearmodels/panel/model.py,PanelOLS,fit,#PanelOLS#Any#,184

Before Change

            y = y + y_gm
            x = x + x_gm

        params = pinv(x) @ y
        df_resid = y.shape[0] - x.shape[1] - neffects
        cov = HomoskedasticCovariance(y, x, params, df_resid)
        eps = y - x @ params

After Change

            x = x + x_gm

        if has_effect:
            if matrix_rank(x) < x.shape[1]:
                raise AbsorbingEffectError(absorbing_error_msg)

        params = lstsq(x, y)[0]
        df_resid = y.shape[0] - x.shape[1] - neffects
        cov = HomoskedasticCovariance(y, x, params, df_resid)
        eps = y - x @ params

Instances