a python package for chemometrics
- a PLS example from sklearn
from sklearn.cross_decomposition import PLSRegression
X = [[0., 0., 1.], [1.,0.,0.], [2.,2.,2.], [2.,5.,4.]]
Y = [.2, 1.1, 5.9,12.3]
pls = PLSRegression(n_components=2)
pls.fit(X, Y)
Y_pred = pls.predict(X)
- numpy
- sklearn
- pandas