Plsnipal: Difference between revisions
Jump to navigation
Jump to search
imported>Jeremy (Importing text file) |
imported>Jeremy (Importing text file) |
||
| Line 1: | Line 1: | ||
===Purpose=== | ===Purpose=== | ||
Calculate single latent variables for partial least squares regression. | Calculate single latent variables for partial least squares 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. | PLSNIPAL is called by the routine pls to calculate each latent variable in a partial least squares regression. | ||
Inputs x and y are either the x-block and y-block for calculation of the first latent variable, or the x-block and y-block residuals for calculation of subsequent latent variables. | Inputs x and y are either the x-block and y-block for calculation of the first latent variable, or the x-block and y-block residuals for calculation of subsequent latent variables. | ||
The outputs are p the x-block latent variable loadings, q the y-block variable loadings, w the x-block latent variable weights, t the x-block latent variable scores, and u the y-block latent variable scores. | The outputs are p the x-block latent variable loadings, q the y-block variable loadings, w the x-block latent variable weights, t the x-block latent variable scores, and u the y-block latent variable scores. | ||
===See Also=== | ===See Also=== | ||
[[nippls]], [[pls]], [[analysis]], [[simpls]] | [[nippls]], [[pls]], [[analysis]], [[simpls]] | ||
Revision as of 15:26, 3 September 2008
Purpose
Calculate single latent variables for partial least squares 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 and y are either the x-block and y-block for calculation of the first latent variable, or the x-block and y-block residuals for calculation of subsequent latent variables.
The outputs are p the x-block latent variable loadings, q the y-block variable loadings, w the x-block latent variable weights, t the x-block latent variable scores, and u the y-block latent variable scores.