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Hi! On my personal workstation, I have installed openssh 1.2.2. I have two server machines, one (A) running a self-compiled openssh 1.2.1pre24, and a different one (B) running an openssh1.2.1pre24 compiled by someone else. While I can perfectly log in to A, logging in to B fails: |mh at leona[32/532]:~$ ssh haber at b |ssh_exchange_identification: read: Success |mh at leona[33/533]:~$ So, I started a debugging sshd on B and tried to log in to B: |mh at leona[34/534]:~$ ssh -p 10022 haber at b |ssh_exchange_identification: read: Success |mh at leona[35/535]:~$ |haber at b:~ $ /usr/sbin...

...and NT? I do not use any special oplock options or whatever. this is part of my smb.conf: [database] comment = RSS Database path = /home/samba/database public = no writable = yes browseable = yes printable = no force user = gandalf write list = gandalf, april, christin, leona, eva, sylvie, phil, robin Thank you for your help. Stanislav Polasek *-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-* Stanislav Polasek, Research Support Scheme Bartolomejska 11, 110 00 Praha 1, Czech Republic tel ++420-2-24231871, fax ++420-2-24231997 -*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-...

Dear all, > version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 1 minor 5.0 year 2002 month 04 day 29 language R OS: Win98 I have a strange problem with a particular data.frame built with

Hello R-Users, I have been using (nnet) by Ripley to train a neural net on a test dataset, I have obtained predictions for a validtion dataset using: PP<-predict(nnetobject,validationdata) Using PP I can find the -2 log likelihood for the validation datset. However what I really want to know is how well my nueral net is doing at classifying my binary output variable. I am new to R and I