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`summary.prc` <- function (object, axis = 1, scaling = "symmetric",
digits = 4, correlation = FALSE, ...) {
sc = scores(object, scaling = scaling, display = c("sp", "lc"),
choices = axis, correlation = correlation, ...)
## coef for scaled sites (coef(object) gives for orthonormal)
b <- qr.coef(object$CCA$QR, sc$constraints)
prnk <- object$pCCA$rank
lentreat <- length(object$terminfo$xlev[[2]])
b = matrix(b[-(1:prnk)], nrow = lentreat-1, byrow = TRUE)
rownames(b) <- (object$terminfo$xlev[[2]])[-1]
colnames(b) <- object$terminfo$xlev[[1]]
out <- list(sp = drop(sc$species), coefficients = b,
names = names(object$terminfo$xlev),
corner = (object$terminfo$xlev[[2]])[1],
call = object$call, digits = digits)
class(out) <- "summary.prc"
out
}
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