Sparse Partial Least Squares (SPLS) Regression and Classification

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Documentation for package ‘spls’ version 2.2-3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

ci.spls	Calculate bootstrapped confidence intervals of SPLS coefficients
coef.sgpls	Make predictions or extract coefficients from a fitted SGPLS model
coef.spls	Make predictions or extract coefficients from a fitted SPLS model
coef.splsda	Make predictions or extract coefficients from a fitted SPLSDA model
coefplot.spls	Plot estimated coefficients of the SPLS object
correct.spls	Correct the initial SPLS coefficient estimates based on bootstrapped confidence intervals
cv.sgpls	Compute and plot the cross-validated error for SGPLS classification
cv.spls	Compute and plot cross-validated mean squared prediction error for SPLS regression
cv.splsda	Compute and plot cross-validated error for SPLSDA classification
lymphoma	Lymphoma Gene Expression Dataset
mice	Mice Dataset
plot.spls	Plot the coefficient path of SPLS regression
predict.sgpls	Make predictions or extract coefficients from a fitted SGPLS model
predict.spls	Make predictions or extract coefficients from a fitted SPLS model
predict.splsda	Make predictions or extract coefficients from a fitted SPLSDA model
print.sgpls	Print function for a SGPLS object
print.spls	Print function for a SPLS object
print.splsda	Print function for a SPLSDA object
prostate	Prostate Tumor Gene Expression Dataset
sgpls	Fit SGPLS classification models
spls	Fit SPLS regression models
splsda	Fit SPLSDA classification models
yeast	Yeast Cell Cycle Dataset