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###### This is the title/description of the program
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#' Computes a linear regression fit and residuals
#' on possibly multivariate responses
#'
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###### These are the arguments of the function, one in each line
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#' @param Y a numeric matrix, to act as response
#'
#' @param X a numeric matrix, to act as covariates
#'
#' @param BetaHat a numeric matrix, to act as slope
#'
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###### These is what we get of out the function
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#' @return a list consisting of two vectors, the
#' fitted values and residuals
#'
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###### These is the way to use the function
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#' @usage FitAndResiduals(Y, X, BetaHat)
#'
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###### This is an example, each function needs to have one
###### there are options of do-not-run etc etc
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#' @examples
#' \dontrun{
#' DataY = cbind(CCU12_Precip$Precip, CCU12_Precip$TMax);
#' DataX = cbind(rep(1, length(CCU12_Precip$Precip)), CCU12_Precip$TMin)
#' BetaHat.New = WLS(DataY, DataX)
#' Results.New = FitAndResiduals(DataY, DataX, BetaHat.New);
#' }
#'
#'
#' @export
FitAndResiduals = function(Y, X, BetaHat){
Fit = X %*% BetaHat;
Residuals = Y - Fit;
OutList = list(Fit = Fit, Residuals = Residuals);
return(OutList);
}
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