
 Time series analysis and forecasting, Caterpillar SSA method 
  Transformation of the onedimensional time series to the trajectory matrix by means of a delay procedure (this gives the name to the whole technique); 
  Thus, the result of the 'Caterpillar'SSA processing is a decomposition of the time series into several components, which can often be identified as trends, seasonalities and other oscillatory series, or noise components. 
  The method is a powerful and useful tool of time series analysis in meteorology, hydrology, geophysics, climatology and, according to our experience, in economics, biology, physics, medicine and other sciences; that is, where short and long, onedimensional and multidimensional, stationary and nonstationary, almost deterministic and noisy time series are to be analyzed. 
 gistatgroup.com (313 words) 
