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