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multivariate-statistics

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Library for dynamic time-series modeling, identification and simulation. Focus on dealing with non-ideal real world datasets, and applications to industrial processes and -pid-feedback loops. Robust and fast for advanced analytics. Built on .NET to run anywhere.

  • Updated Jun 19, 2026
  • C#
process-improve
pid-book

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