R help - Jul 2009 - Specifying a more complex covariance matrix in lme or lmer

Hi all,
I've searched threads and read up on some ways of doing this but I'm
having
a hard time to get it to work.  Here's my basic problem.  I have the
following linear mixed model

y = Xb+Zu+e

where u~N(0,s^2*K) where K is a matrix.

I read a thread that basically suggested to decompose Zu into ZPD^(1/2)
D^(-1/2)P'u so that (D^(-1/2)P'u)~N(0,s'^2I) but I'm not sure
how to specify
the new ZPD^(1/2) incidence matrix using the lme and lmer packages.  The
closest I got was with the lmer package, where I tried using the doFit=FALSE
flag and manually setting the 'Zt' matrices but that doesn't seem to
work.
 With the lme package, I'm not sure if it's possible to create a new
pdMat
class or if I can manually set the Z design matrix.  I tried using the
model.matrix commands but that only reads the current design.  Thanks in
advance to whoever can help out.

~Jimmie

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