ndCurveMaster Version Comparision

The table below shows a comparison between ndCurveMaster 2D and ndCurveMaster.

ndCurveMaster version comparision

	ndCurveMaster 2D	ndCurveMaster
number of independent variables in a regression model	single input variable	unlimited number of input variables
automated machine learning algorithm, see here	–	+
list of functions	813 basic functions power, exponential and logarithmic functions 3 function sets	1634 basic functions power, power with rational exponents, logarithmic and trigo-metric functions 6
multicollinearity detection option through the use of a variance inflation factor (VIF)	–	+
models search with a VIF limit value	–	+
weight data for individual data points	–	+
manual model expansion by manually adding a new nonlinear predictor variable	–	+
a fully random search algorithm	–	+
predictor variable(s) lock to limit or modify a preselected predictor variable while searching	–	+
minimum value regression coefficients	–	+
R-Pearson and RMSE statistics	–	+
Scatterplot, see here	–	+
Residual Scatterplot, see here	–	+
Standardized Residual Scatterplot, see here	–	+
Histogram, see here	–	+
64-bit Windows version	–	+