ml.R example fails in yarn-cluster mode due to lacks of e1071 package

spark-submit --master yarn-cluster examples/src/main/r/ml/ml.R 

17/01/03 04:35:30 INFO MemoryStore: Block broadcast_88 stored as values in memory (estimated size 6.8 KB, free 407.6 MB)
17/01/03 04:35:30 INFO BufferedStreamThread: Error : requireNamespace("e1071", quietly = TRUE) is not TRUE
17/01/03 04:35:30 ERROR Executor: Exception in task 0.0 in stage 65.0 (TID 65)
org.apache.spark.SparkException: R computation failed with
 Error : requireNamespace("e1071", quietly = TRUE) is not TRUE
	at org.apache.spark.api.r.RRunner.compute(RRunner.scala:108)
	at org.apache.spark.api.r.BaseRRDD.compute(RRDD.scala:50)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
	at org.apache.spark.scheduler.Task.run(Task.scala:99)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
	at java.lang.Thread.run(Thread.java:745)
17/01/03 04:35:30 INFO CoarseGrainedExecutorBackend: Got assigned task 68
17/01/03 04:35:30 INFO Executor: Running task 3.0 in stage 65.0 (TID 68)
17/01/03 04:35:30 INFO BufferedStreamThread: Error : requireNamespace("e1071", quietly = TRUE) is not TRUE
17/01/03 04:35:30 ERROR Executor: Exception in task 3.0 in stage 65.0 (TID 68)
org.apache.spark.SparkException: R computation failed with
 Error : requireNamespace("e1071", quietly = TRUE) is not TRUE
Error : requireNamespace("e1071", quietly = TRUE) is not TRUE
	at org.apache.spark.api.r.RRunner.compute(RRunner.scala:108)
	at org.apache.spark.api.r.BaseRRDD.compute(RRDD.scala:50)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
	at org.apache.spark.scheduler.Task.run(Task.scala:99)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
	at java.lang.Thread.run(Thread.java:745)
17/01/03 04:35:30 INFO CoarseGrainedExecutorBackend: Got assigned task 70