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NLREG 6.2

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•  Regression Analysis - CurveFitter - CurveFitter program performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions.
•  Advanced Grapher - Graphing, curve fitting and calculating software. Graphs Cartesian, polar and parametric functions, graphs of tables, implicit functions and inequalities. Calculus features: regression analysis, derivatives, tangents, normals and more.
•  Data Curve Fit Creator Add-in - Adds data curve fitting, interpolation and data smoothing functions to Excel. Functions include polynomial fits, several types of splines, and local regressions. Filters include moving average, Gaussian smoothing and median filtering.
•  FindGraph - FindGraph is a graphing, curve-fitting, and digitizing tool for engineers, scientists and business. Discover the model that best describes your data.
•  Auto2Fit - A revolution tools in the area of nonlinear regression and Global Optimization!
•  WebCab Probability and Stat (J2SE Ed.) - Offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression
•  WebCab Probability and Stat (J2EE Ed.) - EJB Suite offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression
•  WebCab Probability and Stat for .NET - Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications.
•  WebCab Probability and Stat for Delphi - Add Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression functionality to your .NET, COM, and XML Web service Applications.
•  CurvFit - A curve fitting program: Lorentzian, Sine, Exponential & Power series are available models to match your data. A Lorentzian series is recommended for real data especially for multiple peaked data. Another improved productivity example.