Plsnipal: Difference between revisions
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===Purpose=== | ===Purpose=== | ||
Calculate single latent | |||
Calculate a single latent variable for partial least squares (PLS) regression. | |||
===Synopsis=== | ===Synopsis=== | ||
:[p,q,w,t,u] = plsnipal(x,y) | :[p,q,w,t,u] = plsnipal(x,y) | ||
===Description=== | ===Description=== | ||
PLSNIPAL is called by the routine pls to calculate each latent variable in a partial least squares regression. | |||
Inputs x | PLSNIPAL is called by the routine [[pls]] to calculate each latent variable in a partial least squares regression. | ||
====Inputs==== | |||
* '''x''' = x-block input data (for first PLS latent variable), or x-block residuals (for subsequent latent variables) | |||
* '''y''' = y-block input data (for first PLS latent variable), or y-block residuals (for subsequent latent variables) | |||
====Outputs==== | |||
* '''p''' = x-block latent variable loadings | |||
* '''q''' = y-block latent variable loadings | |||
* '''w''' = x-block latent variable weights | |||
* '''t''' = x-block latent variable scores | |||
* '''u''' = y-block latent variable scores | |||
===See Also=== | ===See Also=== | ||
[[ | |||
[[analysis]], [[dspls]], [[nippls]], [[pls]], [[simpls]] |
Latest revision as of 15:53, 21 September 2011
Purpose
Calculate a single latent variable for partial least squares (PLS) regression.
Synopsis
- [p,q,w,t,u] = plsnipal(x,y)
Description
PLSNIPAL is called by the routine pls to calculate each latent variable in a partial least squares regression.
Inputs
- x = x-block input data (for first PLS latent variable), or x-block residuals (for subsequent latent variables)
- y = y-block input data (for first PLS latent variable), or y-block residuals (for subsequent latent variables)
Outputs
- p = x-block latent variable loadings
- q = y-block latent variable loadings
- w = x-block latent variable weights
- t = x-block latent variable scores
- u = y-block latent variable scores