For each Y variable, saves a column to the data table called Pred Formula <response> that contains its the prediction formula.
For each Y variable, saves a column to the data table called Pred Formula <response> that contains the prediction formula in terms of the X scores.
For each Y variable, saves a column to the data table called PredSE <response> that contains the standard error of the predicted mean. For details, see Standard Error of Prediction and Confidence Limits.
For each Y variable, saves two columns to the data table called Lower 95% Mean <response> and Upper 95% Mean <response>. These columns contain 95% confidence limits for the response mean. For details, see Standard Error of Prediction and Confidence Limits.
For each Y variable, saves two columns to the data table called Lower 95% Indiv <response> and Upper 95% Indiv <response>. These columns contain 95% prediction limits for individual values. For details, see Standard Error of Prediction and Confidence Limits.
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Columns called X Score <N> Formula containing the formulas for each X Score.

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Columns called Y Score <N> Formula containing the formulas for each Y Score

Saves the X and Y standardized scores used in constructing the Correlation Loading Plot to the data table. For the formulas, see Standardized Scores and Loadings.
Saves the X and Y standardized loadings used in constructing the Correlation Loading Plot to new data tables. For the formulas, see Standardized Scores and Loadings.
Saves the T2 values to the data table. These are the values used in the T Square Plot.
Saves the Distance to X Model (DModX) and Distance to Y Model (DModY) values to the data table. These are the values used in the Distance Plots.
Creates prediction formulas and saves them as formula column scripts in the Formula Depot platform. If a Formula Depot report is not open, this option creates a Formula Depot report. See Formula Depot in the Predictive and Specialized Modeling book.