Logs include information about the regression process and errors.ĭataFit displays comprehensive reports about each solved regression model, such as number of observations, missing observations and nonlinear iterations, sum of residuals, average residual, coefficient of multiple determination, variance analysis, and data table with details about the entered, calculated and residual data. The linear or nonlinear regression mode can be applied on a single model, groups of models or all of the models available.Īnother handy feature of the utility allows an automatic sorting mode as regression models are solved based on different criteria, such as residual sum of squares and correlation coefficient. In addition, you can assign rule-based initial estimates and provide the analytical derivatives.ĭataFit employs the Levenberg-Marquardt method for carrying out the nonlinear regression operations. In case the predefined regression models are not what you need, you can create user-defined ones, which may have up to 100 fitting parameters or variables.
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The application lets you choose between a wide range of predefined two and three dimensional nonlinear regression models, which are usually employed in scientific and statistical tool. What’s more, you are allowed to enter data by typing it into a standard spreadsheet interface or by cutting and pasting it from other programs.ĭataFit is able to process linear and nonlinear regression models with up to 20 independent variables and supports variable selection (data mining).
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The information may be exported to the same files formats as the input ones. You may import data from plain text, DAT or CSV file format or directly from any ODBC sources, such as Microsoft Access, dBase, Excel, Oracle, Paradox, Visual FoxPro and SQL Server.
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The GUI looks clean and allows you to define a new project by specifying the number of independent variables and showing standard deviation column.