efficient way to fill a matrix based on a pattern?

[justin.cress]

So here's the code I used to create an AR covariance matrix in R... is there
a more efficient way to make the matrix in octave?  

omega <- matrix(nrow=dim(indata)[1],ncol=dim(indata)[1])
for (i in 1:dim(indata)[1])
{
for (j in 1:dim(indata)[1])
{
omega[i,j]=rho^(abs(i-j))
}
}


It occurs to me now that I could have just generated the lower triangle and
copied to the upper... but, im not entirely sure if that'd be much faster.. 

my problem is, i've been having trouble trying to get acclimated to the
programming environment in octave, specifically, when it's ok to reference
objects and how... 

every entry in the matrix should just be rho^(abs(i-j))...   and hopefully
i'll come up with a decent way to make one of arbitrary size.. 
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