Regression
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DataFit v.9.0.59
DataFit is a science and engineering tool that simplifies the tasks of data plotting, regression analysis (curve fitting) and statistical analysis. What sets DataFit apart from similar curve fitting and regression programs is its ease of use.
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DynaFit v.3.28.070
The main purpose of the program DynaFit is to perform nonlinear least-squares regression of chemical kinetic, enzyme kinetic, or ligand-receptor binding data.
FitAll v.6 2
FitAll is a general-purpose, nonlinear regression analysis (curve fitting) program that can be used to fit a set of experimental data to any of the defined functions (models).
AppPerfect Web Test v.12.0
AppPerfect Web Test is a fully Automated Web Functional testing and Regression testing software. Any application accessible via a Web browser can be tested.
CurveFitter v.4.5.22
CurveFitter performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions.
DataFitX v.2.0
DataFitX is a COM component (in-process ActiveX DLL) which allows you to add a powerful nonlinear regression (curve fitting) engine to your software with just a few simple lines of code.
Rt-Plot v.2.8.10.84
Rt-Plot is a tool to generate Cartesian X/Y-plots from scientific data. You can enter and calculate tabular data. View the changing graphs, including linear and non linear regression, interpolation, differentiation and integration, during entering.
DataFitting v.1.7.22
DataFitting is a powerful statistical analysis program that performs linear and nonlinear regression analysis (i.e. curve fitting).
XLSTAT v.2022.4.5
XLSTAT is a complete data analysis and statistics add-in for Excel. It includes regression (linear, logistic, nonlinear), multivariate data analysis, parametric tests, non parametric tests, ANOVA, ANCOVA, forecasting methods.
Test Script Runner 4.0o v.1.0
Test Script Runner is a software platform designed to provide a script based mechanism for Automatic Regression Testing.
Visual Stats v.2.0
Data analysis and multivariate statistical analysis: Probability analysis, descriptive statistics, frequency analysis, variance analysis, regression, .