#' Unidimensional data.
#'
#' A dataset containing the responses of 3000 subjects to 40 items
#'
#' @format A data frame with 3000 rows and 40 variables:
#' \describe{
#' \item{V1}{responses to item 1}
#' \item{V2}{responses to item 2}\cr
#' ...\cr
#' \item{V40}{responses to item 40}
#' }
"data.u"
#' Multidimensional data.
#'
#' A dataset containing the responses of 3000 subjects to 31 items on three subscales (13, 12, 5 items respectively).
#'
#' @format A data frame with 3000 rows and 31 variables:
#' \describe{
#' \item{V1}{responses to item 1}
#' \item{V2}{responses to item 2}\cr
#' ...\cr
#' \item{V31}{responses to item 31}
#' }
"data.m"
#' Conversion table for unidimensional data.
#'
#' A dataset containing the conversion table for the unidimensional data, with first column
#' as raw scores and second column as scale scores
#'
#' @format A data frame with 41 rows and 2 variables:
#' \describe{
#' \item{x}{raw score}
#' \item{ss}{scale score}
#' }
"ct.u"
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