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This optional setting can be used to exactly specify the values for all the parameters (multipliers, powers, dividers, etc) used in the error correction model. An example is shown below. Please note that you will need to establish these parameters firs. One way to do this is to run a long historical run with auto-parameters on. The log file will show the parameters determined by the model. These parameters can be used to fix the parameters for the forecast.
!params!
subtractMean
Boolean to indicate if mean of residuals should be subtracted prior to establishing error model.
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