similar to: net join fail

On 12/04/16 12:09, John Rowe wrote: > I am trying to reconfigure a samba server to use authentication from the University domain. > > * smbd seems to start OK > * net ads testjoin is fine > * net ads join -U xxUSERNAME createcomputer="xxCOMPUTER" fails with: > Failed to join domain: failed to set machine spn: Constraint violation > > (where xxTEXT indicates

Thanks for the reply Rowland: On Tue, 2016-04-12 at 12:21 +0100, Rowland penny wrote: > > Try again without the 'createcomputer="xxCOMPUTER"', your computer > seems > to already exist: > > The machine account already exists in the specified OU. I am told this is in fact a necessary feature: xxCOMPUTER is a class of computers we are allowed to be one. John

G'day all, I had a look at the GLM code of R (1.4.1) and I believe that there are problems with the function "glm.fit" that may bite in rare circumstances. Note, I have no data set with which I ran into trouble. This report is solely based on having a look at the code. Below I append a listing of the glm.fit function as produced by my system. I have added line numbers so that I

Dear R-team As I didn't get any answer to my bug-report last week I have taken the effort and extracted a minimal data set from my data (see below) where the following bug occurs: > glm(SKR.ein.aus ~ ., family = binomial, data = bugdata, na.action = na.omit) Error in names<-.default(*tmp*, value = ynames) : names attribute must be the same length as the vector In addition: Warning

I have a code that contains function "glm.fit" and it works in S-PLUS. But this same code (with some minor changes) does not work in R. I am supplying the part of the code. Can somebody help with this problem? The code *************************************************** x1 <- seq(from=-1,to=2, length=20) x2 <- (rep(1:5,4))/4 x <- cbind(1,x1,x2) y <-

Dear R-team There seems to be a bug in glm.fit - I got the following error message: > > > + Error in names<-.default(*tmp*, value = ynames) : names attribute must be the same length as the vector In addition: Warning messages: 1: fitted probabilities of 0 or 1 occurred in: (if (is.empty.model(mt)) glm.fit.null else glm.fit)(x = X, y = Y, 2: fitted probabilities of 0 or 1 occurred