rongguiwong wrote:
is there any existing function for computing condition index?
See
?kappa
Kjetil
" analysing multivariate data" say that we can use condition index to check
multicollinearity.saying that we can get it via SVD. The elements of the
diagnoal matrix are the standard deviations of the uncorrelated vectors. the
condition index is the ratio of the largest of these numbers to the smallest.
so if i have a data frame a,containg variables x,y,z.
my model is :
model<-lm(y~x+z,data=a)
so use the following to compute the condition index,but it seems wrong.
temp<-svd(model.matrix(model))$d
max(temp)/min(temp)
is it wrong?
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