#' Predict time-series curves ("today" from predict_from to horizon) at the selected days
#' indices ("today" from 1am to predict_from-1). This function just runs a loop over all
#' requested indices, and stores the individual forecasts into a Forecast object.
+#' Note: in training stage ts_hat(day+1) = f(ts(day), exo(day+1)),
+#' and in production ts_hat(day+1) = f(ts(day), exo_hat(day+1))
#'
#' @param data Object of class Data, output of \code{getData()}.
#' @param indices Indices where to forecast (the day after); integers relative to the
#' @return An object of class Forecast
#'
#' @examples
-#' ts_data <- system.file("extdata","pm10_mesures_H_loc.csv",package="talweg")
-#' exo_data <- system.file("extdata","meteo_extra_noNAs.csv",package="talweg")
-#' data <- getData(ts_data, exo_data, limit=200)
+#' ts_data <- system.file("extdata","intraday_measures.csv",package="talweg")
+#' exo_data <- system.file("extdata","daily_exogenous.csv",package="talweg")
+#' data <- getData(ts_data, exo_data, date_format="%Y-%m-%d %H:%M:%S", limit=200)
#' pred <- computeForecast(data, 100:130, "Persistence", "LastValue",
#' predict_from=8, memory=50, horizon=12, ncores=1)
#' \dontrun{