I have Q3 sales for consecutive years 2002-2007 that I'm using to
predict buying (yes/no) in Q3 in 2008.  My data are arranged in counting
process format where each customer has 6 rows of data, one for each
year.  However, there is no variability within the strata at the
customer level: if someone bought in 2008, then all 6 records will be
flagged as buy=1.  I don't think this will work and I can't figure out
how to get around this in order account for the serial correlation in
the predictors.  Can someone point me to the correct analytical
technique?  Is there an R module that will perform this analysis?

 


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