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Dear Masters, first I'd like to wish u all a great 2011 and happy holydays by now, second (here it come the boring stuff) I have a question to which I hope u would answer: I run a logistic regression by glm(), on the following data type (y1=1,x1=x1); (y2=0,x2=x2);......(yn=0,xn=xn), where the response (y) is abinary outcome on 0,1 amd x is any explanatory variable (continuous or not)

...7,0.74,0.70,0.70,0.66, 0.66,0.66,0.67,0.67,0.67,0.67,0.67,0.67,0.66,0.66,0.66,0.66,0.67,0.67,0.66,0.67,0.67,0.66,0.66,0.66,0.66, 0.66,0.66,0.66,0.67,0.66,0.66,0.66,0.66,0.66,0.66,0.66,0.66,0.66) dat <- data.frame(x, y, z) kr <- surf.gls(2, expcov, dat, d = 0.7, nx = 1000) prsurf <- prmat(kr, min(x), max(x), min(y), max(y), 500) image(prsurf, col = rainbow(1000)) One can see that local maxima/minima are found where data were measured: points(x, y, cex = 2) The surface I obtain can be visualised here: http://nsa34.casimages.com/img/2013/03/16/130316115621267122.png Thanks f...