search for: tagnr

....fit.null else glm.fit)(x = X, y = Y, 6: fitted probabilities of 0 or 1 occurred in: (if (is.empty.model(mt)) glm.fit.null else glm.fit)(x = X, y = Y, 7: Algorithm did not converge in: (if (is.empty.model(mt)) glm.fit.null else glm.fit)(x = X, y = Y, "bugdata" <- structure(list(TAGNR = c(1, 2, 3, 4, 5, 6, 7, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24), FAC.A1 = c(1.890074713, 0.285627892, -0.728152664, 0.117508066, -0.316988379, -0.614649045, -0.969428677, -0.036, -0.139119729, -0.25405231, -0.278163883, 0.296010189, 0.290285736, -0.036, -0.304357608, -0.129913755,...

...this is somehow compensated by the extremely low weight, but I don't understand actually what happens. Are the problems due to the possible perfect fit as it results in S-Plus? Thanks in advance for the assistance. Peter PS: The data is the following: "daten" <- structure(list(TAGNR = c(1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24), FAC.A1 = c(4.945936343, 0.757121179, 3.339849734, 0.446432497, -0.224455588, 0.786350506, 0.466671197, -3.39436178, 0.8120849, 1.167138695, -1.049067864, 0.628856055, 1.003535654, 1.970140467, 1.554729204, -1.3...

...4] " weights = weights, start = start, offset = offset, family = family, " [5] " control = control, intercept = attr(mt, \"intercept\") > 0)" [6] "glm(SKR.ein.aus ~ MWSQUAL + FAC.M1 + FAC.M2 + FAC.A1 + FAC.A2 + " [7] " MLDR + TAGNR, family = binomial, data = daten[rows, ])" Debugging glm.fit I found the following: when some elements of the vector `good' are FALSE then `w' has no more "full" length: w <- sqrt((weights * mu.eta.val^2)[good]/variance(mu)[good]) which leads to problem...