![]() One licence key valid for Windows and Mac OS systems. Introducing ndCurveMaster - the best curve fitting program for your data analysis needs With its advanced machine learning algorithms, ndCurveMaster can automatically fit an unlimited number of input variables to your data sets, giving you accurate and precise results. Stepwise regression with backward elimination. User can freely expand or reduce the model. 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 start stepwise regression procedure with backward elimination the least significant variables of any model from ranking list. The ndCurveMaster user interface is shown in. A general algorithm scheme, where: f base function, x independent variable, Y depended variable The software was applied to develop regression equations presented in the next part of the article. ndCurveMaster is a machine learning software that finds the best complex nonlinear equations to fit empirical data through a multiple nonlinear regression. User may repeatedly add new equations to any model from ranking list. NdCurveMaster software was developed on the basis of this algorithm by the author. Heuristic techniques for data fitting by the use of random iterated or full random search alghorithms. Auto fitting of an unlimited number of input variables: x1, x2, x3., xn and their combinations: x1*x2, x1*x3, x2*x3., xn-1*xn. ndCurveMaster compares very favourably to the competition and does so at a lower price. The software is designed with the purpose of generating high quality results and output while saving your time in the process. NdCurveMaster uses heuristic techniques for curve fitting. Mouse and Key Recorder v.5. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables. ndCurveMaster is a program built to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*^3 + a5*^(-2) + a6*x1*x8^2 + a7*ln(x2*圆) + a8*x2*x3*x4. NdCurveMaster for mac OS v.1.2.2 ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. NdCurveMaster was designed to find optimum equations to describe empirical data using a regression method. This tutorial will show you how to find optimum nonlinear equation for 5 number of input variables: x1, x2,, x5 using ndCurveMaster.Thanks for watching :)Y.
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