A univariate time series derived from laser-generated data recorded from a Far-Infrared-Laser in a chaotic state.
A data frame with 1000 observations on the following variable.
a numeric vector containing the observations of the univariate time series A of the Santa Fe Time Series Competition.
The main benchmark of the Santa Fe Time Series Competition, time series A, is composed of a clean low-dimensional nonlinear and stationary time series with 1,000 observations. Competitors were asked to correctly predict the next 100 observations (
SantaFe.A.cont). The performance evaluation done by the Santa Fe Competition was based on the NMSE errors of prediction found by the competitors.
The Santa Fe Time Series Competition Data, URL: http://www.comp-engine.org/timeseries/time-series_data_source/source-151/.
A.S. Weigend, 1993, Time Series Prediction: Forecasting The Future And Understanding The Past. Reading, MA, Westview Press.
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