Regression Analysis - DataFitting 1.7.3
DataFitting performs true nonlinear regression analysis, it does not transform the function into a linear form. As a result, it can handle functions that are impossible to linearize such as:
y = (a - c) * exp(-b * x) + c
Quickly Find the Best Equations that Describe Your Data:
DataFitting gives students, teachers, engineers, researchers and other professionals the power to find the ideal model for even the most complex data, by putting a large number of equations at their fingertips. It has built-in library that includes a wide array of linear and nonlinear models from simple linear equations to high order polynomials.
Graphically Review Curve Fit Results:
Once your data have been fit, DataFitting automatically sorts and plots the fitted equations by the statistical criteria of Standard Error. You can preview your graph and output publication-quality graphs in several different configurations. A residual graph as well as parameter output is generated for the selected fitted equation. Data, statistical and numeric summaries are also available from within the report-panel.
DataFitting has the following capabilities:
* A 38-digit precision math emulator for properly fitting high order polynomials and rationals.
* A robust fitting capability for nonlinear fitting that effectively copes with outliers and a wide dynamic Y data range.
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