WebKit#66

The current implementation of the regression calculation has these flaws:

1. When processing (x[0], y[0]), L1 must be any line through (x0, y0) which meets
   L2 at a point (x’, y’) where x[0] < x' < x[1]. L1 has no error.
2. When processing (x[n - 2], y[n - 2]), L2 must be any line through
   (x[n - 1], y[n - 1]) which meets L1 at a point (x’, y’) where
   x[n - 2] < x' < x[n - 1]. L2 has no error.
3. The lambda calculation is incorrect. It includes a term called H which is equal
   to C - I. Looking at the algorithm of Kundu/Ubhaya, this should be just C.
4. lambda should to be used with calculating L1 and (1 - lambda) should to be used
   with calculating L2. Currently (1 - lambda) is used in calculating L1 and L2.
5. The current calculation has this condition if (t1 != t2) continue; This
   condition is almost always true even if t1 and t2 are essentiallyEqual.