# Regression and Similarity Evaluation for Memory-Based Learning in Spectral Chemometrics

## Documentation for package ‘resemble’ version 1.2.2

- DESCRIPTION file.
- Package NEWS.

## Help Pages

resemble-package | Overview of the functions in the resemble package
corDiss | Correlation and moving correlation dissimilarity measurements (corDiss)
fDiss | Euclidean, Mahalanobis and cosine dissimilarity measurements
getPredictions | Extract predictions from an object of class 'mbl'
mbl | A function for memory-based learning (mbl)
mblControl | A function that controls some aspects of the memory-based learning process in the 'mbl' function
neigCleaning | A function for identifying samples that do not belong to any of the neighbourhoods of a given set of samples (neigCleaning)
orthoDiss | A function for computing dissimilarity matrices from orthogonal projections (orthoDiss)
orthoProjection | Orthogonal projections using partial least squares and principal component analysis
pcProjection | Orthogonal projections using partial least squares and principal component analysis
plot.mbl | Plot method for an object of class 'mbl'
plot.orthoProjection | Plot method for an object of class 'orthoProjection'
plsProjection | Orthogonal projections using partial least squares and principal component analysis
predict.orthoProjection | Orthogonal projections using partial least squares and principal component analysis
print.localOrthoDiss | Print method for an object of class 'orthoDiss'
print.mbl | Print method for an object of class 'mbl'
print.orthoProjection | Print method for an object of class 'orthoProjection'
resemble | Overview of the functions in the resemble package
sid | A function for computing the spectral information divergence between spectra (sid)
simEval | A function for evaluating similarity/dissimilarity matrices (simEval)