====== PCA ======

== Description ==

Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. See [[http://en.wikipedia.org/wiki/Principal_component_analysis|PCA]]

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== Usage ==
{{:default:pca_gui.png?nolink|}}

^Field ^Description ^
|Launch | Field indicating whether you want to execute this analysis in the workflow (checked) or not (unchecked).|
//to finish ...// 
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== Output Examples ==

{{ ::pca-scores_1-2.png?direct&600 |}}
{{ ::pca_pcvar.png?direct&600 |}}