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Dear R-users, I have longitudinal data and would like to fit a model where both the variance-covariance matrix of the random effects and the residual variance are conditional on a (binary) grouping variable. I guess the model would have the following form (in hierarchical notation) Yi|bi,k ~ N(XiB+Zibi, sigmak*Ident) bi|k ~ N(0, Dk) K~Bernoulli(p) I can obtain different sigmas (sigma0 and sigma1 based on the factor 'dx') using the weights option in the call to lme: lme(fixed = height ~ -1 + bage + mat_ht + pat_ht + dx + time:dx + time2:dx , weights=varIdent(form=...

Hi. I want to create a full-virtualization xen VM with autoyast installation. how can i do that? and how does the configuration file to be configured? I use suse linux 11 SP2. looking forward your replay. Jing. -- View this message in context: http://xen.1045712.n5.nabble.com/how-to-create-a-full-virtualization-xen-VM-with-autoyast-tp5714901.html Sent from the Xen - User mailing

Hello list. I'm trying to rebuild the 2.6.9.67.0.20.EL kernel, but it fails even without modifications. How did I try it? Created a (non-root) build environment (not a mock ) Installed the kernel.scr.rpm and did a rpmbuild -ba --target=`uname -m` kernel-2.6.spec 2> prep-err.log | tee prep-out.log The build failed at the end: Processing files: kernel-xenU-devel-2.6.9-67.0.20.EL Checking