Features
Data Fitting
Least-Square Linear Fitting with Arbitrary Basis Functions
Nonlinear Fitting Using the Levenberg-Marquardt Iterative
Algorithm
Parameter Estimation in Spectra Peaks
Data Fitting with Outliers Using the Median or Weighted Residuals
Data Smoothing with Averaging Techniques, Fourier Filters, or Loess
Fitting
Error Analysis
Error Estimation in the Fit Parameters
Errors in Both Coordinates of the Data
Value Adjustment for Significant Figures
Errors Combined in Quadrature
Data Visualization and Transformation
Reading and Using Data
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