# Memory-Based Learning in Spectral Chemometrics

## Documentation for package ‘resemble’ version 2.2.4

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

resemble-package | Overview of the functions in the resemble package
cor_diss | Correlation and moving correlation dissimilarity measurements (cor_diss)
dissimilarity | Dissimilarity computation between matrices
f_diss | Euclidean, Mahalanobis and cosine dissimilarity measurements
get_predictions | Extract predictions from an object of class 'mbl'
local_fit | Local fit functions
local_fit_gpr | Local fit functions
local_fit_pls | Local fit functions
local_fit_wapls | Local fit functions
mbl | A function for memory-based learning (mbl)
mbl_control | A function that controls some few aspects of the memory-based learning process in the 'mbl' function
ortho_diss | A function for computing dissimilarity matrices from orthogonal projections (ortho_diss)
ortho_projection | Orthogonal projections using principal component analysis and partial least squares
pc_projection | Orthogonal projections using principal component analysis and partial least squares
plot.mbl | Plot method for an object of class 'mbl'
plot.ortho_projection | Plot method for an object of class 'ortho_projection'
pls_projection | Orthogonal projections using principal component analysis and partial least squares
predict.ortho_projection | Orthogonal projections using principal component analysis and partial least squares
resemble | Overview of the functions in the resemble package
search_neighbors | A function for searching in a given reference set the neighbors of another given set of observations (search_neighbors)
sid | A function for computing the spectral information divergence between spectra (sid)
sim_eval | A function for evaluating dissimilarity matrices (sim_eval)