Prof Brian Ripley wrote:
I believe lrm has a criterion appropriate to single-precision
calculations (as S-PLUS used to use). Try reducing 'tol' from its
default of 1e-7.
But your design matrix *is* near singular
kappa(cbind(1,x))
[1] 557390.5
so try centring/scaling your variables.
Than
I believe lrm has a criterion appropriate to single-precision calculations
(as S-PLUS used to use). Try reducing 'tol' from its default of 1e-7.
But your design matrix *is* near singular
kappa(cbind(1,x))
[1] 557390.5
so try centring/scaling your variables.
On Sun, 12 Oct 2008, Gad Abraham
Hi,
I'm trying to do binary logistic regression on 10 covariables, comparing
glm to lrm from Harrell's Design package. They don't seem to agree on
whether the data is collinear:
> library(Design)
> load(url("http://www.csse.unimelb.edu.au/~gabraham/data.Rdata";))
> lrm(y ~ X1 + X2 + X3 + X4 +
On Thu, 9 Oct 2008, useR wrote:
Hi R helpers,
I'm fitting large number of single factor logistic regression models
as a way to immediatly discard factor which are insignificant.
Everything works fine expect that for some factors I get error message
"Singular information matrix in lrm.fit" whi
Hi R helpers,
I'm fitting large number of single factor logistic regression models
as a way to immediatly discard factor which are insignificant.
Everything works fine expect that for some factors I get error message
"Singular information matrix in lrm.fit" which breaks whole execution
loop... h
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