Description Usage Arguments Details Value Author(s) References See Also Examples
This function performs k-fold cross validation for ensemble partial least squares regression.
1 |
x |
predictor matrix |
y |
response vector |
nfolds |
number of folds - default is |
verbose |
shall we print the cross validation process |
... |
other arguments that can be passed to |
This function performs k-fold cross validation for ensemble partial least squares regression.
A list containing four components:
ypred
- a matrix containing two columns: real y and predicted y
residual
- cross validation result (y.pred - y.real)
RMSE
- RMSE
R2
- R2
Min-feng Zhu <wind2zhu@163.com>, Nan Xiao <road2stat@gmail.com>
Dongsheng Cao, Yizeng Liang, Qingsong Xu, Yifeng Yun, and Hongdong Li. "Toward better QSAR/QSPR modeling: simultaneous outlier detection and variable selection using distribution of model features." Journal of computer-aided molecular design 25, no. 1 (2011): 67–80.
See enpls.en
for ensemble PLS regression.
1 2 3 4 5 6 7 8 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.