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In this document, the author mentions the latest version 2.9 of Lu Zhenbo's chaotic time series analysis and prediction toolbox. It is worth noting that this toolbox is a powerful tool for analyzing and predicting time series data, and has been widely used in various fields such as finance, economics, and physics. The toolbox includes a variety of algorithms and models, such as phase space reconstruction, Lyapunov exponents, and correlation dimension estimation, which can be used to analyze the dynamical behavior of time series data. In addition, the toolbox also provides various prediction methods, such as local linear prediction, nonlinear prediction, and artificial neural network prediction, which can be used to forecast the future trend of time series data. With its advanced algorithms and powerful features, Lu Zhenbo's chaotic time series analysis and prediction toolbox has become an indispensable tool for researchers and practitioners in various fields.