Least Squares Fit Routine Least Squares Fit Routine (LuSiFeR) is a program for least squares data analysis.
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Least Squares Fit Routine Tags

Parameter Regression Analysis Regression least squares fitted parameter least square Adjust Squares Least Squares method Squares Fitting squares regression squares move least squares fit MRS data cribbage squares cribbage squares solitiare clues-in-squares root sum squares

Least Squares Fit Routine Description

Least Squares Fit Routine (LuSiFeR) is a software application that was designed for least squares data analysis. The first package is in the form of a script for MATLAB, while the second is a standalone program written in C++, with extended capabilities. Both packages perform least-squares regression analysis on a user-supplied dataset, and calculate appropriate fitted parameters (with uncertainties) and an associated X2 value.

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