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Many phenomenon, at least locally, can be modeled using polynomial approximation  2 See how a nonlinear regression can produce an accurate multifunctional model out of your experimental data using universal response function analysis. Nonlinear regression using universal response function analysis can produce an accurate multifunctional model out of your experimental data. As the result of the analysis, the best approximation of data could be like f =(((2.01+c)*(0.129+a))+EXP((.903+c)+(1.
