Simple Component Analysis (SCA) often provides much more interpretable components than Principal Components (PCA) while still representing much of the variability in the data.
|Author||Valentin Rousson <[email protected]> and Martin Maechler|
|Date of publication||2015-09-02 17:04:28|
|Maintainer||Martin Maechler <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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