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diff --git a/pkg/R/J_Neighbors.R b/pkg/R/J_Neighbors.R
index 03d3340..58453ea 100644
--- a/pkg/R/J_Neighbors.R
+++ b/pkg/R/J_Neighbors.R
@@ -1,18 +1,28 @@
-#' Obtain jump forecast by the Neighbors method
+#' getNeighborsJumpPredict
 #'
-#' @inheritParams getForecast
+#' Apply optimized weights on gaps observed on selected neighbors.
+#' This jump prediction method can only be used in conjunction with the Neighbors
+#' Forecaster, because it makes use of the optimized parameters to re-apply the weights
+#' on the jumps observed at days interfaces of the past neighbors.
+#'
+#' @inheritParams computeForecast
 #' @inheritParams getZeroJumpPredict
-getNeighborsJumpPredict = function(data, today, memory, horizon, params, ...)
+#'
+#' @aliases J_Neighbors
+#'
+getNeighborsJumpPredict = function(data, today, memory, predict_from, horizon,
+	params, ...)
 {
 	first_day = max(1, today-memory)
-	filter = params$indices >= first_day
+	filter = (params$indices >= first_day)
 	indices = params$indices[filter]
 	weights = params$weights[filter]
-	if (any(is.na(weights) | is.na(indices)))
-		return (NA)
 
 	gaps = sapply(indices, function(i) {
-		data$getSerie(i+1)[1] - tail(data$getSerie(i), 1)
+		if (predict_from >= 2)
+			data$getSerie(i+1)[predict_from] - data$getSerie(i+1)[predict_from-1]
+		else
+			head(data$getSerie(i+1),1) - tail(data$getSerie(i),1)
 	})
 	scal_product = weights * gaps
 	norm_fact = sum( weights[!is.na(scal_product)] )