Heuristic techniques for data fitting by the use of random iterated or full random search alghorithms. User may repeatedly add new equations to any model from ranking list. User can start stepwise regression procedure with backward elimination the least significant variables of any model from ranking list. Powerful and easy to use, multicollinearity detection by the use of a Variance inflation factor (VIF), full statistical analysis, detect and prevent overfitting. User can freely expand or reduce the model. Stepwise regression with backward elimination. History and ranking of results. Any value of significance level alpha. Video tutorials. One licence key valid for Windows and Mac OS systems.
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