pyls.structures.PLSResults¶
- class pyls.structures.PLSResults(**kwargs)[source]¶
Dictionary-like object containing results of PLS analysis
- x_weights¶
Weights of B features used to project X matrix into PLS-derived component space
- Type
(B, L) numpy.ndarray
- y_weights¶
Weights of J features used to project Y matrix into PLS-derived component space; not available with
pls_regression()- Type
(J, L) numpy.ndarray
- x_scores¶
Projection of X matrix into PLS-derived component space
- Type
(S, L) numpy.ndarray
- y_scores¶
Projection of Y matrix into PLS-derived component space
- Type
(S, L) numpy.ndarray
- y_loadings¶
Covariance of features in Y with projected x_scores
- Type
(J, L) numpy.ndarray
- singvals¶
Singular values for PLS-derived component space; not available with
pls_regression()- Type
(L, L) numpy.ndarray
- varexp¶
Variance explained in each of the PLS-derived components
- Type
(L,) numpy.ndarray
- permres¶
Results of permutation testing, as applicable
- Type
- bootres¶
Results of bootstrap resampling, as applicable
- Type
- splitres¶
Results of split-half resampling, as applicable
- Type
- cvres¶
Results of cross-validation testing, as applicable