Problem With Historical Prediction In Sales Forecast Model

Hi,

I have built a time series model to forecast sales value


I have data from jan 2004 to jan 2006 and the sales value is
at a day level in my database. But I am aggregating it to month level in the
DSV of the mining model.



I am required to make only historical predictions using the
above model starting form jan 2004 to jan 2006 for every month.



I have set Historical_Model_Count
and Historical_Model_Gap parameter
values to 24 and 10 respectively, and trying to predict for the past few months
(PredictTImeseries(SalesValue,-1,1))


But its throwing me the following error



Error(Data Mining): A time series
prediction was requested with a start time further in the past than the
internal models of the mining model, Sales Forecast, specified in the
HISTORIC_MODEL_GAP and HISTORIC_MODEL_COUNT parameters can process





In fact it throws the above error irrespective of what the Historical_Model_Count and Historical_Model_Gap parameter values
are





I am not able to figure our why this problem is happening?



What should the parameter values for the above scenario?


It would also be helpful if I can get an explanation on how
these two parameters affect the historical predictions. I kind of understand
that these two parameters are important for historical predictions but don€™t
know why or how.