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#'
#' \code{GPCAiteration} S3 class returned by \code{\link{GPCA_iteration}}
#'
#' \describe{
#' \item{\code{x_prev}}{ Previous set of random variable, \code{x_prev} input variable of \code{\link{GPCA_iteration}} }
#'
#' \item{\code{x_gauss_prev}}{ Marginal Gaussianization of \code{x_prev} obtained through \code{\link{normalizeGaussian_severalstations}}}
#'
#' \item{\code{B_prev}}{ rotation matrix (i. e. eigenvector matrix of the covariance matrix of \code{x_gauss_prev})}
#'
#' \item{\code{x_next} }{results obtained by multiplying \code{B_prev} by \code{x_gauss_prev} (see equation 1 of the reference in \code{\link{GPCA_iteration}}) }
#' }
#'
#'
#' @title GPCAiteration-class
#'
#' @note Formal definition with \code{\link{setOldClass}} for the S3 class \code{GPCAiteration}
#'
#'
#'
#'
#' @author Emanuele Cordano
#'
#' @docType class
#' @aliases GPCAiteration
#' @name GPCAiteration-class
#' @rdname GPCAiteration-class
#'
#' @keywords classes
#' @exportClass GPCAiteration
#'
#' @examples showClass("GPCAiteration")
#'
#'
#'
setOldClass("GPCAiteration")
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