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# scikits.statsmodels.regression.GLS.loglike

`GLS.``loglike`(params)

  > Returns the value of the gaussian loglikelihood function at params.

  > Given the whitened design matrix, the loglikelihood is evaluated at the parameter vector params for the dependent variable endog.

  Parameters: | params : array-like The parameter estimates
  Returns: | loglike : float The value of the loglikelihood function for a GLS Model.

  ight)- rac{n}{2}left(1+logleft( rac{2pi}{n} ight) ight)- rac{1}{2} ext{log}left(left|Sigma ight| ight)]

  > Y and Y-hat are whitened.

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