This software can help regression analysis to fit a curve through a set of data points.
It will fit thousands of data into your equations in seconds. This tool can provide scientists, researchers and engineers the power to find the ideal model for even the most complex data, including equations that might never have been considered. It is possible to build equation sets which can include a wide array of linear and nonlinear models for an application. This tool will be able to handle any user-defined equations of up to nine parameters and eight variables. These equations could be linear, nonlinear exponential, logarithmic and power equations. The underlying math emulator is capable of handling 38 digit precision for fitting high order polynomial and rational coefficients. The analyzer is able to do nonlinear fitting taking into account outliers and a wide dynamic Y data range. The CurveFitter automatically sorts and plots the fitted equations by the statistical criteria of Standard Error once your data have been fitted.
CurveFitter offers a simple interface for all aspects of operation; from data import to output of results. It is possible to import data in text format. Once the data has been imported you can create a custom equation set and start the automatic fitting process. All it takes is a single mouse click. CurveFitter is simple to learn. Standard functions used are available. Built-in functions take a single numeric argument, enclosed in parentheses after the name of the function. The program is case-sensitive, so make sure you type function names exactly as you see them above. You can save (in text files) different parts of a model or a model in a whole, and correspondingly load them later in order to see the data and graph. This is a very good product. If you are looking for a similar solution, you should try it in your exact workflow.