Decomposition
Decomposing a multivariate dataset in a set of successive orthogonal components that explain a maximum amount of the variance can be accomplished using:
- PCA
Discover new features and enhancements.
Discover Compose, including its language support and system requirements.
The Compose tutorials and associated example model files help introduce you to the basic functionality of the software.
Learn about the features and functionality available in Compose.
Reference guides are available for functions and commands supported by OML, Tcl, and Python.
OpenMatrix is a mathematical scripting language.
The Reference Guide contains documentation for all functions supported in the OpenMatrix language.
Principal Component Analysis.
Transforms target values for the test data points using parameters computed by pcaFit function.
Get help for the optional libraries that are available in the Extension Manager.
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The Reference Guide contains documentation for all functions supported in the OpenMatrix language.
Reference guides are available for functions and commands supported by OML, Tcl, and Python.
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Decomposing a multivariate dataset in a set of successive orthogonal components that explain a maximum amount of the variance can be accomplished using:
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