TMPLS - Fitting Tab

Select the Fitting tab of the TMPLS dialog box to access the options described here.

Element Name Description
Fitting method The following options are available in the Fitting method group box:
Number of components by cross-validation When this option button is selected, STATISTICA will determine the complexity of the TMPLS model, i.e., the optimal number of principal components using the method of cross-validation. The "optimal number" is defined as the number of principal components that achieves the best goodness of prediction Q2X. STATISTICA selects the optimal model complexity using the method of V-fold.
Fixed number of components Select this option button to extract a fixed number of components from the data. Enter the number in the adjacent box. Note that principal components with values of significance falling below a threshold will still be ignored.
Minimum eigenvalue limit Select this option button to extract all principal components with eigenvalues greater than the value specified in the adjacent box. Principal components with eigenvalues less than the specified value will be considered as insignificant and will be excluded from the model.
Cross-validation specifications Use the options in the Cross-validation specifications group box to specify the cross-validation type to be used for selecting the number of principal components (model complexity). For V-fold cross-validation, you can also determine the number of folds and seed value for the random number generator.
V-fold Select this option button to use the standard v-fold cross-validation for determining the optimal number of principal components.
Off Select this option button if you do not want to use cross-validation for determining the optimal number of principal components. Available only when the fitting method is either Fixed number of components or Minimum eigenvalue limit.
V-fold Following are descriptions of the two options available in the V-fold group box.
V value In this box, specify the number of cross-validation folds.
Seed The positive integer value entered here is used as the seed for a random number generator that produces v independent random samples.