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# scikits.statsmodels.regression.GLS.fit

`GLS.``fit`()

  Full fit of the model.

  The results include an estimate of covariance matrix, (whitened) residuals and an estimate of scale.

  Returns: | A RegressionResults class instance. :

  See also

  `regression.RegressionResults`

  Notes

  Currently it is assumed that all models will have an intercept / constant in the design matrix for postestimation statistics.

  The fit method uses the pseudoinverse of the design/exogenous variables to solve the least squares minimization.

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