GLM, GLZ, GRM, PLS, and ANOVA Results - Report Tab

Partial Least Squares (PLS)

Select the Report tab of the GLM Results, GLZ Results, GRM Results, PLS Results, or the ANOVA Results dialog boxes to access the options described here. Note that not all options are available for all modules.

Send/print to Report window. Use the options in the Sent/print to Report window group box to send the variable specifications, command syntax, and prediction equation to a report. Note that the Also send to Report Window check box must be selected in the Analysis/Graph Output Manager dialog box for these options to function. If it is not selected, you will be prompted to modify your output options when you click the Variables and command syntax or Pred. equation buttons (see below).

Variables and command syntax. Click this button to send the current data specifications, including the data file name, currently selected variables, and codes to a report. Use the options in the Analysis/Graph Output Manager dialog box to control the level of detail of the printout (e.g., whether to print long and short text labels, etc.). Also, this option will send the command syntax for the current analysis to the report window. The command syntax provides a detailed log of the specifications for the current analysis. You can send the command syntax to the report window even if you originally specified the design via Quick Specs dialog boxes or the Analysis Wizard dialog boxes.

Pred. equation. Click the Pred. equation button to send the current prediction equation for each dependent variable (for the between design only) to a report. If there are within (repeated measures) factors in the design, they will be ignored, i.e., a prediction equation will be printed for each dependent variable that was originally selected. This option is very useful if you want to copy the prediction equation and paste it into another spreadsheet or an equation plotter (e.g., plot a User-Defined functions in 2D or 3D graphs, see the Graph Options dialog box - Custom Function tab topic). For sigma-restricted coding, the prediction equation includes the coefficient for the reference level of each categorical factor. To use the equation to obtain a prediction, each level needs to be coded as 0/1. This option is not available in GLZ and PLS.

# digits. Enter the number of digits that you want displayed in the prediction equation in the # digits field. This option is not available in GLZ and PLS.

Model Profiler. Click this button to display the Model Profiler, where you can run simulations based on the specified model. Note that this option is only available if General liner models was selected in the Startup Panel.

Code generator. If your program is licensed to include this feature, you can generate computer code to implement the current model for predicting new observations. When you click this button you have the following choices:

PMML. Click this command to generate code in Predictive Model Markup Language (PMML) which is an XML-based language for storing information about fully trained (parameterized) models, and for sharing those models with other applications. STATISTICA and STATISTICA Enterprise Server contain facilities to use this information to compute predicted values or classifications, i.e., to quickly and efficiently deploy models (typically in the context of data mining projects).

STATISTICA Visual Basic (SVB). Click this command to generate a STATISTICA Visual Basic program containing the code implementing the model. This code will be generated in a form compatible with the nodes of STATISTICA Data Miner; however, you can also simply copy/paste the relevant portion of this code to include it in your custom Visual Basic programs. The code will automatically be displayed in the STATISTICA Visual Basic program editor window.

C/C++. Click this command to generate code compatible with the C/C++ computer language. This option is useful if you want to include the information provided by the final model into custom (C/C++) programs. (See also, Using C/C++/C# Code for Deployment.)

C#. Click this command to generate code as C#.

Java. Click this command to generate code in Java script.

SAS. Click this command to generate deployment code for the created model as SAS code (a .sas file). See also, Rules for SAS Variable Names and Example: SAS Deployment.

SQL stored procedure in C#. Click this command to generate code as a C# class intended for use in a SQL Server user defined function.

SQL User Defined Function in C#. Click this command to generate code as a C# class intended for use as a SQL Server user-defined function.

TeraData. Click this command to generate code as C Computer language function intended for use as a user-defined function in a TeraData querying environment.

Deployment to STATISTICA Enterprise. Click this command to deploy the results as an Analysis Configuration in STATISTICA Enterprise. Note that appropriately formatted data must be available in a STATISTICA Enterprise Data Configuration before the results can be deployed to an Analysis Configuration.

Generate Scores. The options in this group box are available only for logistic regression analyses.

Set Scale Parameters. Click this button to display the Scale Parameters dialog box, where the Points to double the odds, Odds, and scorecard points can be input to compute the factor and offset.

Score generator. This button becomes available after Scale Parameters have been set. Click the Score generator button to produce a PMML file that can be used by Rapid Deployment, and has the scaled estimates to produce the scores.

Scaled Estimates. Click this button to produce a spreadsheet of parameter estimates linearly scaled by Factor and Offset values. These estimates should be used in a linear equation to produce scaled scores. Note: Categorical predictors should be coded according to the Parametrization chosen for modeling.

See also GLM - Index.