In this paper, a new algorithm, based on a nonlinear optimization method (N
OM), has been developed. The accuracy as well as the reliability/robustness
of the new algorithm have been verified by applying it to more than 200 CM
M measured data sets on differently manufactured parts. The results have be
en compared with that of Least Squares Method (LSM) and Convex Hull (CVH) m
ethod applied to the same data sets. A data filter is proposed to be enclos
ed in the new algorithm to detect and delete outliers in the darn sets. [S1
087-1357(00)01102-3].