Commands from this category act on the data range from the current serie
and allows you to perform curve fitting.

What is fitting? Suppose that you have a table of numbers, Y_{i}
and X_{i}, i=0..n. Then suppose that you have model representation for
these numeric Y(X) data: Y=f(X,p_{j}), j=1..m, and you want to find
numeric values of p_{j} that made table-defined curve Y_{i}( X_{i})
and model curve Y=f(X,p_{j}) most similar. This process is known as
fitting. If model function has linear dependence on fitting parameters, this
can be treated as linear fitting, otherwise you will have non-linear
fitting problem.

It should be mentioned that both linear and NLSF fitters are accessible via OLE
Automation (see Programmer's Guide for more details).
This feature allows you to create powerful automatic routines for initial NLSF parameter
evaluation and batch fitting.

Warning: Linear Fit, LM Fit
and Manual Fit tools are loaded into the
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Title

Description

Linear Fit

Linear fitter with several predefined functions

LM Fit

Non-linear Levenberg-Marquardt fitter

Lorentzian Fit

Lorentzian peak fitter with parameter preprocessing