#' @usage cca(
#' .data = NULL,
#' .model = NULL,
#' .id = NULL,
#' .approach_weights = c("PLS-PM", "SUMCORR", "MAXVAR", "SSQCORR", "MINVAR", "GENVAR", "GSCA",
#' "fixed", "unit"),
#' ...)
#'
#' @name csem
#' @rdname csem
#' @export
cca <- function(
.data = NULL,
.model = NULL,
.id = NULL,
.approach_weights = c("PLS-PM", "SUMCORR", "MAXVAR", "SSQCORR", "MINVAR", "GENVAR", "GSCA",
"fixed", "unit"),
...
) {
## Match arguments
.approach_weights <- match.arg(.approach_weights)
args_used <- c(as.list(environment(), all.names = TRUE), list(...))
args_used["..."] <- NULL
# Dont estimate the structural model
args_used[[".estimate_structural"]] <- FALSE
# For compatibility with csem()
args_used[[".approach_paths"]] <- args_default()$.approach_paths
# Handle arguments
args <- handleArgs(args_used)
args_needed <- args[intersect(names(args), names(as.list(formals(foreman))))]
do.call(csem, args_needed)
}
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