Curve fitting

Curve fitting (linear and non-linear)

A number of least squares curve fitting methods can be selected:

  • A general (non-linear) Levenberg-Marquardt method to fit your data to any continuous function you define. Just select data from the grid, define your model function, select the constants in this function for which you want a least squares fit and push the Go button.
  • Fit to one of the predefined functions such as: linear regression, polynomials, trigonometric polynomials and cubic splines.
  • Linear combination of Functions, defined in the Functions window, and Data selected in a Data grid 2. The observed data for which you want a least squares fit are given in Data grid 1.

Fit to a linear combination of Functions and Data sets

An example of a fit of an observed spectrum to a linear combination
of 2 functions and 2 model spectra.