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  3. Forecasting Product Demand in R
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Using proportion of historical averages

Now let's try doing that exact same thing, but with the proportion of historical averages technique instead. Your forecast is saved as for_MET_t_xts, your sales objects are MET_hi, MET_lo, MET_sp, and MET_total, and you have three validation data sets called MET_hi_v, MET_lo_v, and MET_sp_v.

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  • Calculate the proportion of historical averages for each product in the metropolitan region (MET_hi, MET_lo, and MET_sp).