#' @section Note: \code{subset} is evaluated in the same way as variables in
#' \code{formula}, that is first in \code{data} and then in the environment
#' of \code{formula}.
#' @param formula object of class \code{"formula"} (or one that can be coerced
#' to that class) of the form \code{outcome ~ controls}. For a regression
#' with no controls (only an intercept), it takes the form \code{outcome ~
#' 1}
#' @param data optional data frame, list or environment (or object coercible by
#' \code{as.data.frame} to a data frame) containing the variables in the
#' model. If not found in \code{data}, the variables are taken from
#' \code{environment(formula)}, typically the environment from which the
#' function is called. Each row in the data frame corresponds to a region.
#' @param subset optional vector specifying a subset of observations to be used
#' in the fitting process.
#' @param weights an optional vector of weights to be used in the fitting
#' process. Should be \code{NULL} or a numeric vector, with each row
#' corresponding to a region. If non-\code{NULL}, weighted least squares is
#' used with weights \code{weights} (that is, we minimize
#' \code{sum(weights*residuals^2)}); otherwise ordinary least squares is
#' used.
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