Multivariate Time Series Forecasting using LSTM

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Geraldo Cesario Junior
I am working to do a Time Series Forecasting using Deep Learning LSTM.
The data file is MSLSTMR.CSV and it contains a sequencial information column 1 to 17, and must results in the columns 18 to 23 ( to corresponding n+1). So data in line n (column 1 to 17 - Independente Variables) must generate the results in line n+1 (columns 18 to 23 - Dependente variables).
The code file is deep_learning_2_Multivariate and is generating error during execution because do not allocate the correct inputs to train.
I have tested using one Independente Variable ( only column 1) with One Dependente Vabiable ( one from column 18 to 23) and the code for this work, but do not have sufficient information to generate good forecasting.
How can i correct the code to work with Multivariate?

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