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CentOS Errata and Security Advisory CESA-2010:0163 openssl security update for CentOS 3 i386: https://rhn.redhat.com/errata/RHSA-2010-0163.html The following updated file has been uploaded and is currently syncing to the mirrors: i386: updates/i386/RPMS/openssl-0.9.7a-33.26.i386.rpm updates/i386/RPMS/openssl-0.9.7a-33.26.i686.rpm updates/i386/RPMS/openssl-devel-0.9.7a-33.26.i386.rpm

CentOS Errata and Security Advisory CESA-2010:0163 openssl security update for CentOS 3 x86_64: https://rhn.redhat.com/errata/RHSA-2010-0163.html The following updated file has been uploaded and is currently syncing to the mirrors: x86_64: updates/x86_64/RPMS/openssl-0.9.7a-33.26.i686.rpm updates/x86_64/RPMS/openssl-0.9.7a-33.26.x86_64.rpm

CentOS Errata and Security Advisory 2020:2433 Moderate Upstream details at : https://access.redhat.com/errata/RHSA-2020:2433 The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) i386: bc2910c9f73fe13f75c2921410c368230698ad20c41c6bc8f2b077e875bc5ecb microcode_ctl-1.17-33.26.el6_10.i686.rpm x86_64:

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Hello. I am new to R and new to linear mixed effects modeling. I am trying to model some data which has two factors. Each factor has three levels rather than continuous data. Specifically, we measured speech at Test 1, Test 2 and Test 3. We also had three groups of subjects: RepTP, RepNTP and NoRepNTP. I am having a really hard time interpreting this data since all the examples I have seen

Dear R-help, I am having trouble with your scatterplot3d program. For help with this problem I was directed to your address by Martin Maechler at " r-core-bounces at r-project.org." I'm also sending a CC to " r-core-owner at r-project.org" as I'm not yet certain of the proper address to use for this. I have R version 2.8.1 and have downloaded 'scatterplot3d.'

Dear CentOS users, I run a small Facebook game at a CentOS 6.3 machine with PostgreSQL 8.4.3 + few PHP scripts + 1 Perl daemon and even though the server worked ok, I've suggested my users to double up the RAM to 32 GB and they have collected money for that. Now my problem is that I don't know, which knob to turn and how to really use the additional memory. Below is my top output at the

Is there a way to estimate a nominal response model? To be more specific let's say I want to calibrate: \pi_{v}(\theta_j)=\frac{e^{\xi_{v}+\lambda_{v}\theta_j}}{\sum_{h=1}^m e^{\xi_{h}+\lambda_{h}\theta_j}} Where $\theta_j$ is a the dependent variable and I need to estimate $\xi_{h}$ and $\lambda_{h}$ for $h \in {1...,m}$. Thank you, Mauricio Romero Quantil S.A.S. Cel: 3112231150