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###### R-function: ridge.reg ##########
# For computing a generalized ridge regression
# fit for a given X matrix, y vector, weight
# vector and ridge vector. The C=[X Z] notation
# for mixed model representation is used in this
# function.
# Last changed: 21 SEP 2004
ridge.reg <- function(C.mat,y,weights=rep(1,nrow(as.matrix(y))),ridge.vec)
{
# Form the augmented C.mat-matrix and y-matrix.
sqrt.wts <- sqrt(as.vector(weights))
Ca <- rbind(sqrt.wts*C.mat,diag(sqrt(ridge.vec)))
ya <- rbind(as.matrix(sqrt.wts*y),matrix(0,ncol(C.mat),ncol(as.matrix(y))))
# Solve this using QR methods.
qr.fit.out <- lm.fit(Ca,ya)
return(list(coef=qr.fit.out$coef,qr=qr.fit.out$qr,ridge.vec=ridge.vec))
}
########## End of ridge.reg ##########
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