#' @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 An object of class \code{"formula"} (or one that can be
#' coerced to that class) of the form \code{outcome ~ controls |
#' endogenous_regressor}. For a regression with no controls (only an
#' intercept), it takes the form \code{outcome ~ 1 | endogenous_regressor}
#' @param data An optional data frame, list or environment (or object coercible
#' by \code{as.data.frame} to a data frame) containing the outcome and
#' running 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 An 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}, for computing the first
#' stage and the reduced form, 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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