Quote:
Originally Posted by Whatever
3. Calculates error using (real score) - (estimated score)
4. Calculates a new OPR using (OPR) + [(sum of error)/(robots per match)/(# of matches per robot)]
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Step4 appears to be trying to minimize the
algebraic sum of the errors (residuals), not the
sum of the squares of the errors.
So I don't see how it could converge to OPR (the de facto definition of OPR on CD is a least-squares solution to the overdetermined system).