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Description
Breakouts (e.g. documents with a response variable value outside of the upper and lower hyper-plane spaced by a specified number of standard deviations above and below the middle linear regression hyper-plane) in time series data may indicate anomaly.
A concrete concept has still to be defined.
Real world use cases are e.g stock markets, see https://www.dailyfx.com/forex/education/trading_tips/daily_trading_lesson/2014/10/24/Trend-Following-with-Regression-Channels.html.