#' @title Fit One or More Models to a Training Set
#' @param historical_data (`data.frame`) A table where samples are in rows and features are in columns.
#' @param model_formula (`formula`) A symbolic description of the model to be fitted.
#' @note \code{model_fit} has access to variables which were assigned to \code{model_environment}.
#' @return A model object
model_fit <- function(historical_data, model_formula)
{
y <- all.vars(update(model_formula, .~0))
model_formula <- formula(paste0(y, " ~ ", 1))
mdl_obj <- lm(model_formula, data = historical_data)
return(mdl_obj)
}
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