R help - Oct 2012 - Externally studentized residuals for Generalized Least Squares model (gls, package: nlme)

Having estimated a generalized least squares model using gls (non-diagonal
covariance matrix, one structural parameter estimated from the data), I wonder
whether there is an efficient way to compute jackknifed/externally studentized
residuals. The residuals.gls method does not offer this possibility; neither
have I found any mention of the hat-matrix in the documentation.

Kind regards,
Wilfried Maps,
Zurich
Switzerland

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