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Introducing additional parameters to some presented design normally enhances the R2 but may result in overfitting, i.e., managing the noise in the data as accurate sign. When overfitting occurs, the product will reach an exceptionally higher R2 in opposition to the data on which it had been educated, but much reduce R2 values versus new observation