mes
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QUOTE (eaihua @ May 1 2008, 11:44 PM)
Least Square Method is method for data regression, but in actual application exsit Deduce the complicacy problem and the relativity is not high Problem etc.Least Cubic Method solves problems that Least Square Method data regression met in the regression of relating data. Since the computers are widely used and applied in experiment, designing and production, it makes the regression computation based on the theory of Least Cubic Method into reality. people can not only process the mechanism model through the regression linearization processing better, but can also give a sound mathematicalematical model to the relating data which can't deduce a mechanism models.I have the 8-dimensional dataļ¼Regression model can it?
Multivariate nonlinear regression analysis DRS
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I have the 8-dimensional dataļ¼Regression model can it?