2D Polynomial Approximation
2D Polynomial approximation creates a f(x,y)=z polynomial that bests fits the
given data points. By default, all data points are included, but theoretically,
complete data is not a requirement. The result comes from a coeffecient matrix created by
calculating the given powers of x and y from indeci data for each coeffecient term,
then calculating the least square error while generating an output vector. This
variant utilizes FFT bins for the vertical dimension.
This feature was published in August of 2010 in a McEnnis log journal entry.
