# vlrr: Vectorised linear regression with regularisation
# A package for the R statistical environment
# Copyright (C) 2015 Matthew Upson <ivyleavedtoadflax@gmail.com>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
#' @title Print method for summary method for the \code{vlrr} function.
#'
#' @description \code{print.summary.vlrr} Print method for summary method for
#' the \code{vlrr} function.
#'
#' @details Print method method for summary method of \code{vlrr} function.
#'
#' @param x A \code{summary.vlrr} object.
#' @param newdata If A list containing new training examples. See examples.
#' @return Prediction based on the model object and newdata.
#'
#' @examples
#'
#' library(vlrr)
#' data(mpg, package="ggplot2")
#'
#' model <- vlrr(hwy ~ displ, data = mpg)
#' summary(model)
#'
#' @export
print.summary.vlrr <- function(x, ...) {
cat("Vectorised linear regression by optim:\n")
cat("\n")
cat("Convergence (see ?optim):\n")
print(x$convergence)
cat("Message (see ?optim):\n")
print(x$message)
cat("\n")
cat("Call:\n")
print(x$call)
cat("\n")
cat("Lambda:\n")
print(x$lambda)
cat("\n")
printCoefmat(
x$coefficients,
P.value = TRUE,
has.Pvalue = TRUE
)
cat("\n")
cat("MSE:\n")
print(x$MSE)
}
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