lfit.H File Reference

Linear regression (least squares fitting) using GSL. More...

#include <gsl/gsl_statistics_double.h>
#include <gsl/gsl_fit.h>
#include <string>
#include <ah-zip.H>
#include <tpl_array.H>
#include <ah-string-utils.H>
#include <aleph-exceptions.H>

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Classes
struct	LFit
	Linear regression calculator using least squares method. More...

Detailed Description

Linear regression (least squares fitting) using GSL.

This file provides the LFit struct for performing simple linear regression on paired (x, y) data using the GNU Scientific Library.

Features

• Least squares linear fitting: y = c + m*x
• Coefficient of determination (R²)
• Mean squared error and standard deviation
• Prediction with error estimates

Usage Example

Array<double> x = {1, 2, 3, 4, 5};
Array<double> y = {2.1, 3.9, 6.1, 8.0, 10.2};
 
LFit fit(x, y);
std::cout << "y = " << fit.c << " + " << fit.m << " * x\n";
std::cout << "R² = " << fit.r2 << "\n";
 
auto [predicted, error] = fit.predict(6.0);

See also

line.H Line equation class

Author

Leandro Rabindranath León

Definition in file lfit.H.