6.3 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;
}

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