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#' Tall Matrices
#'
#' Many data science problems reduce to operations on very tall,
#' skinny matrices. However, sometimes these matrices can be so tall that they
#' are difficult to work with, or do not even fit into main memory. One
#' strategy to deal with such objects is to distribute their rows across
#' several processors. To this end, we offer an 'S4' class for tall, skinny,
#' distributed matrices, called the 'shaq'. We also provide many useful
#' numerical methods and statistics operations for operating on these
#' distributed objects. The naming is a bit "tongue-in-cheek", with the class
#' a play on the fact that 'Shaquille' 'ONeal' ('Shaq') is very tall, and he
#' starred in the film 'Kazaam'.
#'
#' @importFrom pbdMPI isend irecv send recv allreduce bcast comm.size comm.rank
#' comm.stop comm.all comm.max get.jid
#' @import methods
#' @importFrom stats prcomp optim
#'
#' @useDynLib kazaam R_trinv
#'
#' @name kazaam-package
#' @docType package
#' @author Drew Schmidt \email{wrathematics@gmail.com}, Wei-Chen Chen, Mike Matheson, and George Ostrouchov.
#' @references Programming with Big Data in R Website: \url{http://r-pbd.org/}
#' @keywords Package
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