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If the data sets have n entries each, then the model being fitted in the log space is lnY=lnA+??M+??+ln??, where Y is a vector of size 2n, A is a matrix of [a1, a2] (e.g., a1 being the base sale for data set 1 and a2 being the base sale for data set 2 in log space, and base sale being the sales with no markdowns or seasonal effects (i.e., m and ??=0), m is the corresponding vector of markdowns, ??
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