| DataLab is a compact statistics package aiming at exploratory data analysis. Please visit the DataLab Web site for more information.... |
Home  Features of DataLab Mathematical/Statistical Analysis Classification & Clustering Linear Discriminant Analysis Create an LDA Classifier |
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See also: PLS Discriminant Analysis, Apply an LDA Model, Create an MLR Model, Multi-Class Linear Discriminant Analysis, Create a kNN Model
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Create an LDA Classifier
The command Math/Linear Discriminant Analysis/Create Classfier... serves to create a LDA model. For that purpose first the variables have to be specified by clicking the corresponding variable list. The independent variables (descriptors) are at the left, the dependent variable (target variable) can be selected at the right. After clicking the variable list the variable selection dialog allows to select the desired variables.
 ) has to be pressed. After that the most important diagrams for checking the classification model are displayed in the switchable diagnostic window. These diagrams contain the confusion matrix, the regression coefficients in graphical form and the numeric details.
You can store the model on the disk (
In order to make the variable selection easier both the detection of multicollinearities (button
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Math -> Linear Discriminant Analysis -> Create Classfier...
) in order to be able to apply the model to other datasets by means of the command 
) and the methods for the 
) can be started directly from the MLR window.