Hi, I have been fitting a series of data representing a week of Internet traffic (which is daily seasonal and have a general trend toward lower rate at the weekends). Before I do the ARMA fit (which takes care of seasonality with a lag equal to one day), do I have to make sure the data is stationary? From the results and visually, it seems that this was taken care of. But the residual failed the kpss test with a p-value less than 0.01. Thank you, Weiguang