Hi, everyone,
This is a little silly, but I cant figure out the algorithm behind
lm.fit function used in the context of promax rotation algorithm:
The promax function is:
promax <- function(x, m = 4)
{
if(ncol(x) < 2) return(x)
dn <- dimnames(x)
xx <- varimax(x)
x <- xx$loadings
Q <- x * abs(x)^(m-1)
U <- lm.fit(x, Q)$coefficients
d <- diag(solve(t(U) %*% U))
U <- U %*% diag(sqrt(d))
dimnames(U) <- NULL
z <- x %*% U
U <- xx$rotmat %*% U
dimnames(z) <- dn
class(z) <- "loadings"
list(loadings = z, rotmat = U, crap = x, coeff = Q)
}
And the line I'm having trouble with is:
U <- lm.fit(x, Q)$coefficients
I'm trying to rewrite this routine in Java and got stuck on the lm.fit part.
Thanks,
~Pavlo
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
