Varcapy: Difference between revisions

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===Purpose===
===Purpose===
Calculate percent y-block variance captured by a PLS regression model.
Calculate percent y-block variance captured by a PLS regression model.
===Synopsis===
===Synopsis===
:vc = varcapy(model'',options'')
:vc = varcapy(model'',options'')
===Description===
===Description===
VARCAPY Calculate percent y-block variance captured by a PLS regression model. Given a PLS regression model, VARCAPY calculates the percent of y-block variance captured by each latent variable of the model for each column of the y-block.
VARCAPY Calculate percent y-block variance captured by a PLS regression model. Given a PLS regression model, VARCAPY calculates the percent of y-block variance captured by each latent variable of the model for each column of the y-block.
Input is a standard PLS model structure. Outupt is a matrix containing the variance captured by each latent variable (rows) for each column of y (columns).
Input is a standard PLS model structure. Outupt is a matrix containing the variance captured by each latent variable (rows) for each column of y (columns).
===Options===
===Options===
* '''plots''' : [ 'none' |{'final'}] Governs plotting of results.
* '''plots''' : [ 'none' |{'final'}] Governs plotting of results.
===See Also===
===See Also===
[[analysis]], [[pca]]
[[analysis]], [[pca]]

Revision as of 14:27, 3 September 2008

Purpose

Calculate percent y-block variance captured by a PLS regression model.

Synopsis

vc = varcapy(model,options)

Description

VARCAPY Calculate percent y-block variance captured by a PLS regression model. Given a PLS regression model, VARCAPY calculates the percent of y-block variance captured by each latent variable of the model for each column of the y-block.

Input is a standard PLS model structure. Outupt is a matrix containing the variance captured by each latent variable (rows) for each column of y (columns).

Options

  • plots : [ 'none' |{'final'}] Governs plotting of results.

See Also

analysis, pca