Multivariate Time Series Forecasting using LSTM

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?