Class LeastSqFit
Class LeastSqFit can be used to calculate linear regressions with or without weighting factors. Once constructed, a LeastSqFit can be interrogated for various properties of the fit. Here’s an example:
 
#include <rw/lsqfit.h>
#include <rw/math/mathvec.h>
#include <rw/rand.h>
#include <iostream>
int main()
{
// Two straight lines:
RWMathVec<double> x(50, 0, 1);
RWMathVec<double> y(50, 0, 1);
// Random number generator:
RWTRandUniform<RWRandGenerator> ru;
// Add some noise to y:
y += ru.randValue(50);
// Construct the fit, without using weighting factors:
LeastSqFit lsf(x, y);
// Now get various properties of the fit:
std::cout << "Correlation coefficient is " <<
lsf.correlationCoeff() <<
std::endl;
std::cout << "The slope of the fit is "<<
lsf.slope() << std::endl;
}