Some of the input time series happen to have the same value for all months of the year, so their behavior is not consistent with a stochastic process and therefore it cannot be modeled as such:
So the question is: is there a way to force the software to work with this kind of data?
Some of the input time series happen to have the same value for all months of the year, so their behavior is not consistent with a stochastic process and therefore it cannot be modeled as such:
So the question is: is there a way to force the software to work with this kind of data?