  I explore the mathematical transformation that occurs in color coordinate
space when physically mixing paints of two different colors. I tested 120 pairs
of 16 paint colors and used a linear regression to find the most accurate
combination of input parameters, both in RGB space and several other color
spaces. I found that the fit with the strongest coefficient of determination
was a geometrically symmetrized linear combination of the colors in CIEXYZ
space, while this same mapping in RGB space returns a better mean squared
error.
