Data, MATLAB codes and R codes for "Kernel partial least-squares (KPLS) for multivariate calibration. A tutorial."

Two folders are provided. The MATLAB folder contains MATLAB codes for running Kernel PLS cross-validation, calibration and prediction of properties in various data sets: corn, yerba, wheat and meat.
The R folder contains the same data with R codes for the same activities.

本次提供两个文件夹。MATLAB文件夹包含用于对玉米、耶巴马黛茶、小麦与肉类四类数据集开展核偏最小二乘（Kernel PLS）交叉验证、模型校准与属性预测的MATLAB代码。R文件夹包含与MATLAB文件夹相同的数据集，以及用于执行相同分析任务的R代码。