linear and nonlinear regression analysis (i.e. curve fitting). DataFitting determines the values of parameters for an equation, whose form you specify, that cause the equation to best fit a set of data values. DataFitting can handle linear, polynomial, exponential, and general nonlinear functions. DataFitting performs true nonlinear regression analysis, it does not transform the function into a linear form. As a result, it can handle functions that

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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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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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The selection of components to generate two dimensional Cartesian plots with: unlimited number of axis (secondary axis) manifold options for scaling, grids, legends, automatic scaling, automatic zooming, unlimited number of series, manifold line and point styles, calculated Regression Lines, Interpolation, Differential and Integral, supporting components for editing and styles selection

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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 data from the clipboard. With DataFit, you can perform linear or nonlinear regression on data containing up to 20 independent variables

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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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