Batch-Wise Multi-Way Partial Least Squares

Batch-wise Multi-way Partial Least Squares.

General

Element Name Description
Detail of computed results reported Detail of computed results; if Minimal results is requested, summary spreadsheet and graph will be displayed; if Comprehensive results is requested, the components spreadsheet, the line plots of the components, and the scatterplots of the components will be displayed.
Aggregated (stacked) data Aggregated (stacked) data
Maximum number of iterations Specifies the maximum number of iterations to generate the components.
Convergence criterion Convergence criterion
Fitting method Specifies the method to fit the model.
Fixed number of components Fixed number of components.
Minimum eigenvalue limit Minimum eigenvalue limit.
Cross-validation specifications Specifies the cross-validation method.
V value V value for V-fold cross-validation.
Random seed Random seed for cross-validation.

Advanced

Element Name Description
Minimum percentage of valid cases per variable (%) Minimum percentage of valid cases per variable (%).
Minimum percentage of valid variables per case (%). Minimum percentage of valid variables per case (%).
Apply maximum data size Apply maximum data size.
Maximum data size, in MB Maximum data size, in MB.
Variable scale Variable scale.

Results

Element Name Description
Control limit (%) for T-Square chart and SPE(Q) chart. Control limit (%) for T-Square chart and SPE(Q) chart
Apply warning limit for T-Square chart and SPE (Q) chart Apply warning limit for T-Square chart and SPE (Q) chart
Warning limit (%) for T-Square chart and SPE(Q) chart Warning limit (%) for T-Square chart and SPE(Q) chart
Sort variables by importance Sort variables by importance
Scree plot of eigenvalues Scree plot of eigenvalues
Number of eigenvalues to plot in scree plot Number of eigenvalues to plot in scree plot

Plots

Element Name Description
Lineplots of scores and loadings Lineplots of scores and loadings
Scatterplots of scores and loadings Scatterplots of scores and loadings
Display text labels Display text labels
Type of plot limit Type of plot limit
Applying warning limit for plots Applying warning limit for plots
Multiply std. dev. to calculate control limit Multiply std. dev. to calculate control limit
Multiply std. dev. to calculate warning limit Multiply std. dev. to calculate warning limit
Compute control limit from probability value Compute control limit from probability value
Compute warning limit from probability value Compute warning limit from probability value

Deployment

Deployment is available if the Statistica installation is licensed for this feature.

Element Name Description
Generates PMML code Generates PMML (Predictive Models Markup Language) code for deployment of predictive model. This code can be used via the Rapid Deployment options to efficiently compute predictions for (score) large data sets.
Saves PMML code Saves PMML (Predictive Models Markup Language) code for deployment of predictive model. This code can be used via the Rapid Deployment options to efficiently compute predictions for (score) large data sets.
File name for PMML (XML) code Specify the name and location of the file where to save the (PMML/XML) deployment code information.