NonlinearRegression and MultipleNonlinearRegression objects provide methods and procedures for defining regression models with up to 100 fitting parameters and performing nonlinear regression on data containing up to 50 independent variables. The CubicSpline object performs cubic spline interpolation on 2-dimensional data. These objects provide properties and methods that return results for the fitting parameters, as well as detailed statistical

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nonlinear regression (curve fitting), statistical analysis and data plotting. What sets DataFit apart from similar curve fitting and regression programs is its ease of use. DataFit is driven by a well-designed graphical interface, so there are no complicated instructions to remember and no programs to write. Data entry is achieved through a standard spreadsheet interface, which supports ASCII and ODBC data source import, as well as cutting and pasting

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CurveFitter program performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions. The regression analysis determines the values of the parameters that cause the function to best fit the observed data that you provide. This process is also called curve fitting.

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XLSTAT is a complete analysis and statistics add-in for MS Excel. It includes regression (linear, logistic, nonlinear), multivariate data analysis (PCA, DA, CA, MCA, MDS), correlation tests, parametric tests, non parametric tests, ANOVA, ANCOVA and much more. Complementary modules are available for 3D visualization, Preference Mapping, Time series analysis.

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NLREG performs nonlinear regression and curve fitting. NLREG fits a mathematical function whose form you specify to a set of data values. Virtually any type of function can be fitted. NLREG includes a programming language similar to C that you use for describing the function to be fitted. Two dimensional line and three dimensional surface plots can be generated.

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DMFitter ActiveX control allows you to add sophisticated regression analysis tools to your software in a few lines of code. Features include: both linear and nonlinear (Levenberg-Marquardt) least squares curve fitting algorithms, arbitrary user models (defined analytically or by string expressions), event support, weighting. Examples for Excel, VB, Delphi, MSIE, Data Master 2003 and scripting languages are included.

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