Displaying 3 results from an estimated 3 matches for "rmod".
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2004 Jul 06
0
Model frame manipulation
...mine to select the
restricted m.m. according to the possibly redundant regressors specified
in the character vector red.vars
> Z<-X[,!(dimnames(X)[[2]]%in%red.vars)] # restricted model matrix
>
and then the rest...
> q<-dim(X)[[2]]-dim(Z)[[2]]
>
> umod<-lm(y~X)
> rmod<-lm(y~Z)
>
> ures<-umod$resid
> rres<-rmod$resid
>
> URSS<-sum(ures^2)
> RRSS<-sum(rres^2)
>
> test <- ((RRSS - URSS)/q) / (URSS / (n-k))
> (...) }
Now to my question: the above works just fine when the names in red.vars
are *exactly* those of reg...
2008 May 30
1
robust mlm in R?
I'm looking for something in R to fit a multivariate linear model
robustly, using
an M-estimator or any of the myriad of other robust methods for linear
models
implemented in robustbase or methods based on MCD or MVE covariance
estimation (package rrcov).
E.g., one can fit an mlm for the iris data as:
iris.mod <- lm(cbind(Sepal.Length, Sepal.Width, Petal.Length,
Petal.Width) ~ Species,
2005 Jul 21
6
basic question on how to compile 2.4 xen
Hi
Can someone help me figure out a way to compile a 2.4 kernel in a 2.6
system. Basically it keeps failing because it needs the genksyms
package, which is provided in the modutils package from redhat, but
obviously this isn''t presetn on the 2.6 kernel.
I was wondering how the xen maintainers go about compiling their 2.4
kernel and 2.6 kernel. Do you do it on different systems then