Varcapy: Difference between revisions
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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 19:58, 2 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.