Save Columns
In the Fit Least Squares report, the Save Columns options (accessed from the Response red triangle menu) add 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.
Note the following:
• When formulas are created, they are entered as Formula column properties.
• For many of the new columns, a Notes column property is added describing the column and indicating that Fit Least Squares created it.
• For the Predicted Formula and Predicted Values options, a Predicting column property is added. This property is used internally by JMP in conducting model comparisons (Analyze > Predictive Modeling > Model Comparison). When you fit many models, it is also useful to you because it documents the origin of the column.
The following Save Columns options are available:
Prediction Formula
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.
Caution: The predicted values saved by the Prediction Formula option are not valid when a Weight variable has been specified in the analysis.
Prediction and Interval Formulas
Saves new columns to the data table. The columns contain formulas for the predictions, confidence limits, and prediction limits. All columns are hidden by default except for the prediction formula column.
Tip: The limits columns that are created by this option contain properties that are used by the Prediction Profiler. Select this option if you want to use these limits in the profiler.
Note: If you press Shift while selecting the option, you are prompted to enter an α level for the computations.
Predicted Values
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>.
Residuals
Creates a new column called Residual <colname> that contains the observed response values minus their predicted values.
Mean Confidence Interval
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 press Shift while selecting the option, you are prompted to enter an α level for the computations.
Indiv Confidence Interval
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 press Shift while selecting the option, you are prompted to enter an α level for the computations.
Studentized Residuals
Creates a new column called Studentized Resid <colname> that contains the residuals divided by their standard errors.
Externally Studentized Residuals
(Not available when the fitting method is REML.) Creates a new column called Externally Studentized Residuals <colname> that contains the residuals divided by standard error estimates that exclude the current row. See Plot Studentized Residuals.
Hats
Creates a new column called h <colname>. The column values are the diagonal values of the matrix X(X′X)−1X′, sometimes called hat values.
Std Error of Predicted
Creates a new column called StdErr Pred <colname> that contains the standard errors of the predicted mean response.
Std Error of Residual
Creates a new column called StdErr Resid <colname> that contains the standard errors of the residual values.
Std Error of Individual
Creates a new column called StdErr Indiv <colname> that contains the standard errors of the individual predicted response values.
Effect Leverage Pairs
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:
– X Leverage of X for R
– Y Leverage of X for R
In the columns panel, these columns are organized in a columns group called Leverage.
Cook’s D Influence
Creates a new column called Cook’s D Influence <colname>, which contains values of the Cook’s D influence statistic.
StdErr Pred Formula
Creates a new column called PredSE <colname> that contains both the formula and the values for the standard error of the predicted values.
Note: The saved formula can be large. If you do not need the formula, use the Std Error of Predicted option.
Mean Confidence Limit Formula
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 press Shift while selecting the option, you are prompted to enter an α level for the computations.
Indiv Confidence Limit Formula
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 press Shift while selecting the option, you are prompted to enter an α level for the computations.
Save Coding Table
Creates a new data table whose first columns show the JMP coding for all model parameters. The last column gives the values of the response. If you entered more than one response column, all of these columns appear as the last columns in the coding table.
Note: The coding data table contains a table variable called Original Data that gives the name of the data table that was used for the analysis. In the case where a By variable is specified, the Original Data table variable gives the By variable and its level.
Publish Prediction Formula
Creates a prediction formula and saves it as a formula column script in the Formula Depot platform. If a Formula Depot report is not open, this option creates a Formula Depot report. See “Formula Depot” in Predictive and Specialized Modeling.
Publish Standard Error Formula
Creates a standard error formula and saves it as a formula column script in the Formula Depot platform. If a Formula Depot report is not open, this option creates a Formula Depot report. See “Formula Depot” in Predictive and Specialized Modeling.
Publish Mean Confid Limit Formula
Creates confidence limit formulas for the mean response 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 Predictive and Specialized Modeling.
Publish Indiv Confid Formula
Creates confidence formulas for individual response values 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 Predictive and Specialized Modeling.