All, So I included the wampler data in the test suite. The interesting thing, is to get clean runs I need wider tolerances with OLSMultipleRegression than with the version of the Miller algorithm I am coding up.
Perhaps we should come to a consensus of what good enough is? How close do we want to be? Should we require passing on all of NIST's 'hard' problems? (for all regression techniques that get cooked up) -Greg
