Last data update: 2014.03.03
Data Source
Data Type
Classification
Cran Task View
BiocViews
SMO (statistical methods ontology)
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Images
cppls.fit
(Package: pls ) :
CPPLS (Indahl et al.)
● Data Source:
CranContrib
delete.intercept
(Package: pls ) :
Delete intercept from model matrix
"assign" attribute correspondingly. It is used by formula handling functions like mvr and model.matrix.mvr.
● Data Source:
CranContrib
coef.mvr
(Package: pls ) :
Extract Information From a Fitted PLSR or PCR Model
mvr objects: Regression coefficients, fitted values, residuals, the model frame, the model matrix, names of the variables and components, and the X variance explained by the components.
● Data Source:
CranContrib
predplot
(Package: pls ) :
Prediction Plots
● Data Source:
CranContrib
plot.mvr
(Package: pls ) :
Plot Method for MVR objects
plot.mvr plots predictions, coefficients, scores, loadings, biplots, correlation loadings or validation plots (RMSEP curves, etc.).
● Data Source:
CranContrib
var.jack
(Package: pls ) :
Jackknife Variance Estimates of Regression Coefficients
● Data Source:
CranContrib
scores
(Package: pls ) :
Extract Scores and Loadings from PLSR and PCR Models
mvr models.
● Data Source:
CranContrib
svdpc.fit
(Package: pls ) :
Principal Component Regression
● Data Source:
CranContrib
widekernelpls.fit
(Package: pls ) :
Wide Kernel PLS (Rännar et al.)
● Data Source:
CranContrib
kernelpls.fit
(Package: pls ) :
Kernel PLS (Dayal and MacGregor)
● Data Source:
CranContrib
providing 
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