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...rnal compiler error: program cc1 got fatal signal 6 make: *** [smbpass.o] Error 1 it stops there that's it i get my prompt back can someone help me about this please? i have linux with kernel 2.0.35 on a pentium 75 40Mbytes of memory 80 mbytes swap space about 8 gigs hdd. thank's Rejean Turgeon AllSpeeds Net allspeed@allspeeds.net

Hi list! We tested mod_antiloris 0.4 and found it quite efficient, but before putting it in production, we would like to hear some feedback from freebsd users. We are using Apache 2.2.x on Freebsd 6.2 and 7.2. Is anyone using it? Do you have any other way to patch against Slowloris other than putting a proxy in front or using the HTTP accept filter? Thanks for your feedback, Martin

Dear list, i'm checking the residuals plots of a gam model after a processus of model selection. I found the "best" model, all my terms are significant, the r-square and the deviance explained are good, but I have strange residuals plots: http://dl.dropbox.com/u/1169100/gam.check.png http://dl.dropbox.com/u/1169100/residuals_vs_fitted.png What does explains the "curve"

...ro, so I tend to look at residuals against sqrt(fitted) in such cases. I don't think that the presence of the zero curve is a reason to reject the model --- it's easy to produce such plots by fitting a completely correct model to simulated count data. best, Simon On 08/06/11 15:50, Samuel Turgeon wrote: > Dear list, > > i'm checking the residuals plots of a gam model after a processus of model > selection. I found the "best" model, all my terms are significant, the > r-square and the deviance explained are good, but I have strange residuals > plots: > >...

...o put my hand on it.. i have this machine running linux and the other machines are running windows for workgroup and win95 but when i go to network neightborhood on the win95 machine it see only the other windows machine not the linux box.. can someone give me any idea i'm out of it?. Rejean Turgeon AllSpeeds Net allspeed@allspeeds.net

Dear list, i'm using the GAM function from mgcv package. I'm using this syntax: model=gam(y~offset(x)+s(log1p(x1))+s(log1p(x2))+s(x3)+s(x4)+s(5),family=quasipoisson,data=data) and I'm sequentially dropping the single term with the highest non-significant p-value from the model and re-fitting until all term are significant. Now I have:

Dear list, I have read several posts on this topic. I would use the same methodology as proposed by Simon Wood in this post: http://r.789695.n4.nabble.com/variance-explained-by-each-term-in-a-GAM-td836513.html My first question is: Does anyone know a scientific source (paper, book,...) that explains or uses this methodology. I have read several articles, particularly in the field of ecology,