Hmmm. Well aside from whatever guidelines you may be working with, the only rule I believe is that you get a good model that can adjust for the GLA range you want to use. For example, let's say you have 120 sales comps for your area for the past two years, you run MARS or Earth and get an R2 of 0.80 on a GLA range of 800sf-3500sf, first run. You score the comps based on first model, create the residuals, rank and score the residuals and then rerun MARS on the residual scores. You will then likely get an R2 of 0.98 or better. Then you select your best 12 comps based on all factors, in particular Quality/Condition/Appeal/etc - really whatever your model tells you are the most important features for value. After running adjustments against the subject, you get 3-4 comps within 0.5% of the average, 3-4 comps between 0.5 and 1% of the average and the rest between 1 and 2% of the average. If your comps range from 800sf to 3500sf, it's demonstrating the power of your model, it's confirmation you know what you are doing. .... IMO JUST REMEMBER: Same treatment for all comps, - be consistent.