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SAS/Ets 9.22 User's Guide 193. Provides detailed reference material for using SAS/ETS software and guides you through the analysis and forecasting of features such as univariate and multivariate time series, cross-sectional time series, seasonal adjustments, multiequational nonlinear models, discrete choice models, limited dependent variable models, portfolio analysis, and generation of financial reports, with introductory and advanced examples for each procedure. You can also find complete information about two easy-to-use point-and-click applications: the Time Series Forecasting System, for automatic and interactive time series modeling and forecasting, and the Investment Analysis System, for time-value of money analysis of a variety of investments | 1912 F Chapter 29 The TIMESERIES Procedure Output 29.4.1 Period Plot Example 29.5 Illustration of Singular Spectrum Analysis F 1913 Output 29.4.2 Frequency Plot Example 29.5 Illustration of Singular Spectrum Analysis This example illustrates the use of singular spectrum analysis. The following statements extract two additive components from the SASHELP.AIR time series by using the THRESHOLDPCT option to specify that the first component represent 80 of the variability in the series. The resulting groupings consisting of the first three and remaining nine singular value components are presented in Output 29.5.1 through Output 29.5.3. title SSA of AIR data proc timeseries data sashelp.air plot ssa id date interval month var air ssa length 12 THRESHOLDPCT 80 run 1914 F Chapter 29 The TIMESERIES Procedure Output 29.5.1 Singular Value Grouping 1 Plot SSA Results for AIR DATE Original .
