statsmodels.regression.linear_model.OLSResults.rsquared_adj static OLSResults.rsquared_adj()
statsmodels.regression.linear_model.OLSResults.ssr static OLSResults.ssr()
statsmodels.regression.linear_model.OLSResults.scale static OLSResults.scale()
statsmodels.regression.linear_model.OLSResults.resid static OLSResults.resid()
statsmodels.regression.linear_model.OLSResults.resid_pearson static OLSResults.resid_pearson() Residuals, normalized to have unit variance. Returns: An array wresid/sqrt(scale) :
statsmodels.regression.linear_model.OLSResults.rsquared static OLSResults.rsquared()
statsmodels.regression.linear_model.OLSResults.pvalues static OLSResults.pvalues()
statsmodels.regression.linear_model.OLSResults.nobs static OLSResults.nobs()
statsmodels.regression.linear_model.OLSResults.mse_total static OLSResults.mse_total()
statsmodels.regression.linear_model.OLSResults.mse_resid static OLSResults.mse_resid()
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