Computes monotonically decreasing nonparametric least squares regression. Input: xstar: projected coordinates y: uptake uu1–uu3: positioning of ellipse (center point) a1–a5: makings of covar matrix (ellipse) Returns: 3-col array [tx,ytx,y] where tx: ellipsoidal coordinates, ytx: evaluation of monotnoic regression on tx grid, y: input uptake y.
1 | iso.reg(xstar, y, uu1, uu2, uu3, a1, a2, a3, a4, a5)
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