pastas.stats.metrics.sse
========================

.. py:function:: pastas.stats.metrics.sse(obs: pandas.Series | None = None, sim: pandas.Series | None = None, res: pandas.Series | None = None, missing: str = 'drop') -> float

   
   Compute the Sum of the Squared Errors (SSE).

   :param sim: Series with the simulated values.
   :type sim: pandas.Series, optional
   :param obs: The Series with the observed values.
   :type obs: pandas.Series, optional
   :param res: The Series with the residual values. If time series for the residuals are
               provided, the sim and obs arguments are ignored. Note that the residuals
               must be computed as `obs - sim` here.
   :type res: pandas.Series, optional
   :param missing: string with the rule to deal with missing values. Only "drop" is supported now.
   :type missing: str, optional

   .. rubric:: Notes

   The Sum of the Squared Errors (SSE) is calculated as follows:

   .. math:: \text{SSE} = \sum(\epsilon^2)

   where :math:`\epsilon` are the errors.















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