Class "CSimca" - classification in high dimensions based on the (classical) SIMCA method
CSimca represents the SIMCA algorithm for classification in high dimensions.
The objects of class
CSImca contain the results
of the SIMCA method.
Objects from the Class
Objects can be created by calls of the form
new("CSImca", ...) but the
usual way of creating
CSimca objects is a call to the function
CSimca() which serves as a constructor.
the (matched) function call.
prior probabilities used, default to group proportions
number of observations in each class
A list of Pca objects - one for each group
Object of class
"numeric"number of (choosen) principal components
Object of class
"Uvector"The observations whose score distance is larger than cutoff.sd or whose orthogonal distance is larger than cutoff.od can be considered as outliers and receive a flag equal to zero. The regular observations receive a flag 1
the training data set (same as the input parameter x of the constructor function)
grouping variable: a factor specifying the class for each observation.
No methods defined with class "CSimca" in the signature.
Valentin Todorov firstname.lastname@example.org
Vanden Branden K, Hubert M (2005) Robust classification in high dimensions based on the SIMCA method. Chemometrics and Intellegent Laboratory Systems 79:10–21
Todorov V & Filzmoser P (2009), An Object Oriented Framework for Robust Multivariate Analysis. Journal of Statistical Software, 32(3), 1–47. URL http://www.jstatsoft.org/v32/i03/.
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