NNsetting: Setting Up The Predictor Matrix in A Neural Network for Time...
In ConvFuncTimeSeries/test_t: Nonlinear time series analysis

The function sets up the predictor matrix in a neural network for time series data.

1 2	NNsetting(zt, locY = 1, nfore = 0, lags = c(1:5), include.lagY = TRUE)

`zt`	data matrix, including the dependent variable `Y(t)`.
`locY`	location of the dependent variable (column number).
`nfore`	number of out-of-sample prediction (1-step ahead).
`lags`	a vector containing the lagged variables used to form the x-matrix.
`include.lagY`	indicator for including lagged `Y(t)` in the predictor matrix.

The function returns a list with following components.

`X`	`x`-matrix for training a neural network.
`y`	`y`-output for training a neural network.
`predX`	`x`-matrix for the prediction subsample.
`predY`	`y`-output for the prediction subsample.