Data set of the package
Description
The package includes embedded versions of the MackeyGlass chaotic time series and the Gas Furnance dataset.
Details
MackeyGlass chaotic time series
The MackeyGlass chaotic time series is defined by the following delayed differential equation:
d_x(t) / d_t = (a * x(t  τ) / (1 + x(t  τ) ^ 10))  b * x(t)
For this dataset, we generated 1000 samples, with input parameters as follows:

a = 0.2

b = 0.1

τ = 17

x_0 = 1.2

d_t = 1
The dataset is embedded in the following way:
input variables: x(t  18), x(t  12), x(t  6), x(t)
output variable: x(t + 6)
Gas Furnance dataset
The Gas Furnance dataset is taken from Box and Jenkins. It consists of 292 consecutive values of methane at time (t  4), and the CO2 produced in a furnance at time (t  1) as input variables, with the produced CO2 at time (t) as an output variable. So, each training data point consists of [u(t  4), y(t  1), y(t)], where u is methane and y is CO2.
References
G. E. P. Box and G. M. Jenkins, "Time series analysis, forecasting and control", San Fransisco, CA: Holden Day (1970).
M. Mackey and L. Glass, "Oscillation and chaos in physiological control systems", Science, vol. 197, pp. 287  289 (1977).
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