Tconcalc: Difference between revisions

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===Purpose===
===Purpose===


Calculate Hotellings T2 contributions for predictions on a model.
Calculate Hotelling's T<sup>2</sup> contributions for predictions on a model.


===Synopsis===
===Synopsis===
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===Description===
===Description===


Inputs are the new data newx and the 2-way PCA or regression model for which T2 contributions should be calculated model. Alternatively, the prediction structure pred calculated with new data can be used in place of the new data itself or both can be omitted (passing model only) to get T2 contributions for the calibration data.
Inputs are the new data <tt>newx</tt> and the 2-way PCA or regression model for which T<sup>2</sup> contributions should be calculated <tt>model</tt>. Alternatively, the prediction structure <tt>pred</tt> calculated with new data can be used in place of the new data itself or both can be omitted (passing <tt>model</tt> only) to get T<sup>2</sup> contributions for the calibration data.


===See Also===
===See Also===


[[datahat]], [[pca]], [[pcr]], [[pls]], [[qconcalc]]
[[datahat]], [[pca]], [[pcr]], [[pls]], [[qconcalc]]

Revision as of 13:52, 9 October 2008

Purpose

Calculate Hotelling's T2 contributions for predictions on a model.

Synopsis

tcon = tconcalc(newx,model)
tcon = tconcalc(pred,model)
tcon = tconcalc(model)

Description

Inputs are the new data newx and the 2-way PCA or regression model for which T2 contributions should be calculated model. Alternatively, the prediction structure pred calculated with new data can be used in place of the new data itself or both can be omitted (passing model only) to get T2 contributions for the calibration data.

See Also

datahat, pca, pcr, pls, qconcalc