Nothing
`coef.cca` <-
function (object, norm = FALSE, ...)
{
if(is.null(object$CCA))
stop("unconstrained models do not have coefficients")
Q <- object$CCA$QR
u <- object$CCA$u
## if rank==0, the next would fail, but this kluge gives
## consistent results with coef.rda and vegan 2.4
if (ncol(u))
u <- sqrt(object$rowsum) * u
## scores.cca uses na.predict and may add missing NA rows to u,
## but Q has no missing cases
if (nrow(Q$qr) < nrow(u) && inherits(object$na.action, "exclude"))
u <- u[-object$na.action,, drop=FALSE]
b <- qr.coef(Q, u)
if (norm)
b <- sqrt(colSums(qr.X(Q)^2)) * b
b
}
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