R: Sparse Partial Least Squares (SPLS) Regression and Classification

# Sparse Partial Least Squares (SPLS) Regression and Classification

## Documentation for package ‘spls’ version 2.2-2

- 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