⚠️There's a newer version (2.3-2) of this package.Take me there.

spls (version 2.2-1)

Sparse Partial Least Squares (SPLS) Regression and Classification

Description

This package provides functions for fitting a Sparse Partial Least Squares Regression and Classification

Copy Link

Version

Install

install.packages('spls')

Monthly Downloads

10,814

Version

2.2-1

License

GPL (>= 2)

Maintainer

Valentin Todorov

Last Published

August 21st, 2013

Functions in spls (2.2-1)

cv.sgpls

Compute and plot the cross-validated error for SGPLS classification

predict.sgpls

Make predictions or extract coefficients from a fitted SGPLS model

splsda

Fit SPLSDA classification models

cv.splsda

Compute and plot cross-validated error for SPLSDA classification

lymphoma

Lymphoma Gene Expression Dataset

spls-internal

Internal SPLS functions

ci.spls

Calculate bootstrapped confidence intervals of SPLS coefficients

prostate

Prostate Tumor Gene Expression Dataset

print.spls

Print function for a SPLS object

plot.spls

Plot the coefficient path of SPLS regression

mice

Mice Dataset

spls

Fit SPLS regression models

predict.spls

Make predictions or extract coefficients from a fitted SPLS model

coefplot.spls

Plot estimated coefficients of the SPLS object

sgpls

Fit SGPLS classification models

correct.spls

Correct the initial SPLS coefficient estimates based on bootstrapped confidence intervals

predict.splsda

Make predictions or extract coefficients from a fitted SPLSDA model

cv.spls

Compute and plot cross-validated mean squared prediction error for SPLS regression