LSTM Number of observations in X and Y disagree.

Hi, I have this problem: I have a time serie data composed by 10 features x 1934 observations.

I need to predict one step ahead the features from 5 to 10 only, so I used time series sxample and I changed the number of input and output feature, but Matlab give me the error "Number of observations in X and Y disagree." This is the core of program:

numFeatures = 10;
numResponses = 6;

options = trainingOptions('adam', ...
        'MaxEpochs', 1000, ...
        'GradientThreshold',1, ...
        'InitialLearnRate',0.005, ...
        'LearnRateSchedule','piecewise', ...
        'LearnRateDropPeriod',125, ...
        'LearnRateDropFactor',0.2, ...
        'MiniBatchSize', 128, ...
        'Verbose',0, ...
        'ValidationData',dataValidation, ...
        'ValidationFrequency', vf, ...
        'ValidationPatience', 3);
layers = [ ...
        featureInputLayer(numFeatures)
        lstmLayer(100)
        fullyConnectedLayer(numResponses)
        regressionLayer];

net = trainNetwork(XTrainStd,YTrainStd,layers,options);

Where size(XTrainStd) = 10 x 1933 and size(YTrainStd) = 6 x 1933 and YTrainStd is one step ahead (before the standardizzation Y=X(5:10, 2:end), X=(:, 1:end-1) ).

How can I fix the error?