How can I calculate a least squares linear regression when squares have to do with elasticity?
Say in an ordinary least squares regression, a square distance from one point to the regression line is ydelta^2. I want the same ydelta distance to more important for some points than for others depending on elasticity functions for each points.
Is it possible to create this type of regression using a matlab formula? I am not a mathematician by trade.