I'm trying to do the following:

  1. perform PCA on a successful experimental run
  2. import new runs
  3. detect if a new run is an outlier based on the initial model 4. if it is not an outlier, then incorporate it into the initial model

Essentially, when the information is inputted, I want the script to perform PCA analysis, compare it against a master model, and (if isn't a bad run) use that analysis to modify a master model.

What commands or packages can I use to do this? I know how do steps 1-3, but I don't know what to use to create this "master model".

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