The table toolbar is located above the Table Area and is used for making changes in Data tables and DataSets. The number of tools available in the toolbar varies depending on the type of table selected in the Table Area. For example: When viewing the variables of a DataSet, the toolbar extends to the maximum number of tools which can be seen below. When viewing a regular data table, only the first tool to the left (Arrange) will be visible.

-Arrange: Arranges the open tables. (Options: Maximize, Tile Windows Vertically, Tile Windows Horizontally, Cascade).

- Include Selected Rows. Includes selected observations/variables to be part of model calculations.

- Exclude Selected Rows. Excludes selected observations/variables from further model calculations.

- Set Selected Rows to X. (For variables only) Sets the selected rows to X, which means that these variables will be part of PCA or PLS model calculations.

- Set Selected Rows to Y. (For variables only) Sets the selected rows to Y, which means that they will only be part of PLS model calculations and excluded from any PCA model.

- Set Selected Rows to Training Set: (For observations only) Sets the selected rows to be part of the training set, which means they will be part of any model calculations.

- Set Selected Rows to Test Set. (For observations only) Sets the selected rows to be part of the test set. They will not be part of model calculations. Instead, they will be predicted by any model created from the DataSet.

- Protect Data. Protects the data from including/excluding observations or variables. Protecting data might be useful when a final model has been made for a certain DataSet.

- Apply Changes. Apply changes will update the models with the alterations made to active DataSet. For example, if a number of observations/variables have been excluded, apply changes will recalculate the models with only the included observations/variables.

- Clone DataSet. Will create a new DataSet with identical settings to the original DataSet. It is useful to clone a DataSet when, for example, one wants to keep the DataSet intact with its models and at the same time create new models with alternative settings.

- Rename DataSet. Renames the DataSet.