unmix: Unmix spectral data with least squares method

In svkucheryavski/supure: Spectral Unmixing with Pure Variables

Description

unmix decomposes the spectral data to a matrix with concentrations and a matrix with spectra of pure components using set of pure variables.

Usage

unmix(D, Dr, by.spec = T)

Arguments

D	matrix with the spectral data
Dr	a matrix with concentration estimates (e.g. columns of D with pure variables)
by.spec	logical, should the algorithm works with spectra (rows) or with concentrations (columns)

Value

Returns a list with two matrices, 'conc' for concentrations and 'spec' for spectra as well as a vector with residual variance values

svkucheryavski/supure documentation built on May 30, 2019, 9:32 p.m.