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another "law": Newton's law of cooling.
2) There is a body of opinion that prefers not to massage data
in order to run a straight line through it.
The least squares fit exaggerates the weight of the cool end.
Better in my view to run a non linear lms fit.
This seems much work. I prefer to massage by using my calibrated
outlier removal judgment.
The first reference I found suggested least trimmed squares might be better?
bc, eliminates outliers one by one until happy.
p.s. got any suggested programs for power mac?