Nothing
`add1.cca`<-
function(object, scope, test = c("none", "permutation"),
permutations = how(nperm = 199), ...)
{
if (inherits(object, "prc"))
stop("'step'/'add1' cannot be used for 'prc' objects")
if (is.null(object$terms))
stop("ordination model must be fitted using formula")
test <- match.arg(test)
## Default add1
out <- NextMethod("add1", object, test = "none", ...)
cl <- class(out)
## Loop over terms in 'scope' and do anova.cca
if (test == "permutation") {
## Avoid nested Condition(Condition(x) + z)
hasfla <- update(terms(object$terminfo), . ~ Condition(.))
if (!is.character(scope))
scope <- add.scope(object, update.formula(object, scope))
ns <- length(scope)
adds <- matrix(0, ns+1, 2)
adds[1, ] <- NA
for (i in 1:ns) {
tt <- scope[i]
## Condition(.) previous terms (if present)
if (!is.null(object$CCA)) {
fla <- update(hasfla, paste("~ . +", tt))
nfit <- update(object, fla)
}
else
nfit <- update(object,
as.formula(paste(". ~ . +", tt)))
tmp <- anova(nfit, permutations = permutations, ...)
adds[i+1,] <- unlist(tmp[1,3:4])
}
colnames(adds) <- colnames(tmp)[3:4]
out <- cbind(out, adds)
## check for redundant (0 Df) terms
if (any(nas <- out[,1] < 1, na.rm = TRUE)) {
out[[3]][nas] <- NA
out[[4]][nas] <- NA
}
class(out) <- cl
}
out
}
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