Each Save Columns option adds one or more new columns to the current data table. Additional Save Columns options appear when the fitting method is REML. These are detailed in REML Save Columns Options.
Creates a new column called Pred Formula <colname> that contains both the formula and the predicted values. A Predicting column property is added, noting the source of the prediction.
Note: Pred Formula <colname> inherits certain properties from <colname>. These include Response Limits, Spec Limits, and Control Limits. If you change these properties for <colname> after saving Pred Formula <colname>, they will not update in Pred Formula <colname>.
See Prediction Formula for more details.


Creates a new column called Predicted <colname> that contains the predicted values computed by the specified model. Both a Notes and a Predicting column property are added, noting the source of the prediction.
Note: Predicted <colname> inherits certain properties from <colname>. These include Response Limits, Spec Limits, and Control Limits. If you change these properties for <colname> after saving Predicted <colname>, they will not update in Predicted <colname>.


Creates a new column called Residual <colname> that contains the observed response values minus their predicted values.


Creates two new columns called Lower 95% Mean <colname> and Upper 95% Mean <colname>. These columns contain the lower and upper 95% confidence limits for the mean response.
Note: If you hold the SHIFT key while selecting the option, you are prompted to enter an α level for the computations.


Creates two new columns called Lower 95% Indiv <colname> and Upper 95% Indiv <colname>. These columns contain lower and upper 95% confidence limits for individual response values.
Note: If you hold the SHIFT key while selecting the option, you are prompted to enter an α level for the computations.


Creates a new column called Studentized Resid <colname>, which contains the residuals divided by their standard errors.


Creates a new column called h <colname>. The column values are the diagonal values of the matrix , sometimes called hat values.


Creates a new column called StdErr Pred <colname> that contains the standard errors of the predicted mean response.


Creates a new column called StdErr Resid <colname> that contains the standard errors of the residual values.


Creates a new column called StdErr Indiv <colname> that contains the standard errors of the individual predicted response values.


Creates a set of new columns that contain the X Leverage values and Y Leverage Residuals for each leverage plot. For each effect in the model, two columns are added. If the response column name is R and the effect is X, the new column names are:


Creates a new column called Cook’s D Influence <colname>, which contains values of the Cook’s D influence statistic.


Creates a new column called PredSE <colname> that contains both the formula and the values for the standard error of the predicted values.


Creates two new columns called Lower 95% Mean <colname> and Upper 95% Mean <colname>. These columns contain both the formulas and the values for lower and upper 95% confidence limits for the mean response.
Note: If you hold the SHIFT key while selecting the option, you are prompted to enter an α level for the computations.


Creates two new columns called Lower 95% Indiv <colname> and Upper 95% Indiv <colname>. These columns contain both the formulas and the values for lower and upper 95% confidence limits for individual response values.
Note: If you hold the SHIFT key while selecting the option, you are prompted to enter an α level for the computations.


Pred Formula <colname> differs from Predicted <colname> in that it contains the prediction formula. Rightclick in the Pred Formula <colname> column heading and select Formula to see the prediction formula. The prediction formula can require considerable space if the model is large. If you do not need the formula with the column of predicted values, use the Save Columns > Predicted Values option. For information about formulas, see the Using JMP book.
The Prediction Formula option is useful for predicting values in new rows or for use with the profilers. The profilers are available in the Fit Least Squares report (Factor Profiling). However, when your data table includes formula columns, you can also use the profilers provided in the Graph menu. When you are analyzing multiple responses, accessing the profilers from the Graph menu can be useful.
Note: If you select Graph > Profiler to access the profilers, first save the formula columns to the data table using Prediction Formula and StdErr Pred Formula. Then place both of these formulas into the Y, Prediction Formula role in the Profiler window. After you click OK, specify whether you want to use PredSE <colname> to construct confidence intervals for Pred Formula <colname>. Otherwise, JMP creates a separate profiler plot for PredSE <colname>.