How can I change this single variable LSTM network to a multivariate LSTM network?

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Hello,
Please I want to understand how to modify this example code (also attached here):
openExample('nnet/TimeSeriesForecastingUsingDeepLearningExample')
to be able to deal with a multivariable problem. Like, for instance, we have 3 time-series inputs (X1, X2, X3) and we need to:
1. forecast a single time-series target (Y)
2. forecast 2 time-series targets (Y1, Y2)
based on those 3 time-series inputs.
Thank you,

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R2019b

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