CurveFitter performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions. The regression analysis determines the values of the parameters that cause the function to best fit the observed data that you provide. This process is also called curve fitting.
Fit thousands of data into your equations in seconds:
CurveFitter gives 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. You can build equation set which can include a wide array of linear and nonlinear models for any application. Its state-of-the-art data fitting includes the following capabilities:
*Any user-defined equations of up to nine parameters and eight variables.
*Nonlinear exponential, logarithmic and power equations.
*A 38-digit precision math emulator for properly fitting high order polynomials and rationals.
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