lwplsda

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mlesnoff / rchemo
Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.
dimension-reduction discrimination chemometrics knn regression-models lwplsr kernel-methods ridge-regression pca partial-least-squares-regression non-linear-regression plsda latent-variable-models lwplsda svm signal-processing ridge-discrimination kernel-pca fda spectroscopy
Language:R 14
mlesnoff / rnirs
Archived repo - This R Package is not developed anymore (only maintenance). It was replaced by R package rchemo
regression discrimination chemometrics plsda lwplsr signal-processing pca pcr fda latent-variable-models cross-validation ridge partial-least-squares-regression svm-model svm knn kernel-pls kernel-ridge kernel-pca lwplsda
Language:R 11