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I'm using PLS and I have a training set of data. At the conclusion of training I save the column "Save Prediction Formula". This formula includes all the weights from all the PLS components rolled up into a single linear combination. It also has, explicitly, the means and standard deviations for all the covariates in the formulas.
Now I want to take this model to a completely new experiment we have run. I collect the same covariates and responses as we did for the training data. I then added a new column to include the training model and simply pasted in the formula from the training data table. So this model will take the new experimental covariates and subtract the training mean and divide by the standard deviation and then apply the training weights. Is this the correct workflow?