Rinverse: Difference between revisions
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===Purpose=== | ===Purpose=== | ||
Calculates pseudo inverse for PLS, PCR and RR models. | Calculates pseudo inverse for PLS, PCR and RR models. | ||
===Synopsis=== | ===Synopsis=== | ||
:rinv = rinverse(mod,ncomp) | :rinv = rinverse(mod,ncomp) | ||
:rinv = rinverse(p,t,w,ncomp) | :rinv = rinverse(p,t,w,ncomp) | ||
:rinv = rinverse(p,t,ncomp) | :rinv = rinverse(p,t,ncomp) | ||
:rinv = rinverse(sx,theta) | :rinv = rinverse(sx,theta) | ||
===Description=== | ===Description=== | ||
For the following I/O format: | For the following I/O format: | ||
:rinv = rinverse(mod,ncomp) | :rinv = rinverse(mod,ncomp) | ||
The input mod is a model structure from PCR, PLS, or ANALYSIS and ncomp is the number of factors in the model (number of principal components or latent variables). | The input mod is a model structure from PCR, PLS, or ANALYSIS and ncomp is the number of factors in the model (number of principal components or latent variables). | ||
For PLS models, the inputs are the loadings p, scores t, weights w and number of latent variables ncomp. For this case the I/O syntax is: | For PLS models, the inputs are the loadings p, scores t, weights w and number of latent variables ncomp. For this case the I/O syntax is: | ||
rinv = rinverse(p,t,w,ncomp) | rinv = rinverse(p,t,w,ncomp) | ||
For PCR models, the inputs are the loadings p, scores t, and number of principal components ncomp. For this case the I/O syntax is: | For PCR models, the inputs are the loadings p, scores t, and number of principal components ncomp. For this case the I/O syntax is: | ||
rinv = rinverse(p,t,ncomp) | rinv = rinverse(p,t,ncomp) | ||
For ridge regression (RR) models, the inputs are the scaled predictor x matrix sx and ridge parameter theta. | For ridge regression (RR) models, the inputs are the scaled predictor x matrix sx and ridge parameter theta. | ||
rinv = rinverse(sx,theta) | rinv = rinverse(sx,theta) | ||
===See Also=== | ===See Also=== | ||
[[pcr]], [[pls]], [[ridge]], [[stdsslct]] | [[pcr]], [[pls]], [[ridge]], [[stdsslct]] | ||
Revision as of 15:26, 3 September 2008
Purpose
Calculates pseudo inverse for PLS, PCR and RR models.
Synopsis
- rinv = rinverse(mod,ncomp)
- rinv = rinverse(p,t,w,ncomp)
- rinv = rinverse(p,t,ncomp)
- rinv = rinverse(sx,theta)
Description
For the following I/O format:
- rinv = rinverse(mod,ncomp)
The input mod is a model structure from PCR, PLS, or ANALYSIS and ncomp is the number of factors in the model (number of principal components or latent variables).
For PLS models, the inputs are the loadings p, scores t, weights w and number of latent variables ncomp. For this case the I/O syntax is:
rinv = rinverse(p,t,w,ncomp)
For PCR models, the inputs are the loadings p, scores t, and number of principal components ncomp. For this case the I/O syntax is:
rinv = rinverse(p,t,ncomp)
For ridge regression (RR) models, the inputs are the scaled predictor x matrix sx and ridge parameter theta.
rinv = rinverse(sx,theta)