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...Ty(8); } I didn't find anything related beyond this mail thread such as a discussion of a patch but of course I might be searching too narrowly - perhaps someone here can recall whether it went any further, whether insurmountable barriers do exist, etc? Thanks for whatever advice & thread necromancy you can offer, Tyro -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20150310/6bf0691a/attachment.html>

...Ty(8); } I didn't find anything related beyond this mail thread such as a discussion of a patch but of course I might be searching too narrowly - perhaps someone here can recall whether it went any further, whether insurmountable barriers do exist, etc? Thanks for whatever advice & thread necromancy you can offer, Tyro _______________________________________________ LLVM Developers mailing list LLVMdev at cs.uiuc.edu         http://llvm.cs.uiuc.edu http://lists.cs.uiuc.edu/mailman/listinfo/llvmdev

I have RS version 3.4.7 and I'm using Ubuntu 11.04 x64. When I start the app, everything works up until I click my username, then the main application area is blank (title bar and exit and help menus are still visible and functional). It has worked fine for months; the only thing that has changed is that I recently accepted the latest system wine update. I ran the app from the command line:

Has anyone succesfully setup, and used CentOS as an iSCSI server? I'm trying to setup a server with 4x500GB HDD's, setup in RAID 10 to act as an iSCSI server for a virtualization project, but I can't find a decent howto on how to setup an iSCSI server using CentOS. I would like to setup something like Openfiler, but we also need todo some other stuff that OpenFiler doesn't

When I callculate a linear model, then I can compute via confint the confidencial intervals. the interval level can be chosen. as result, I get the parameter of the model according to the interval level. On the other hand, I can compute the prediction-values for my model as well with predict(object, type=c("response") etc.). Here I have also the possibility to chose a level for the