R: Solving Linear Inverse Models

# Solving Linear Inverse Models

## Documentation for package ‘limSolve’ version 1.5.5.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.

## Help Pages

limSolve-package | Solving Linear Inverse Models
Blending | A linear inverse blending problem
Chemtax | An overdetermined linear inverse problem: estimating algal composition based on pigment biomarkers.
E_coli | An underdetermined linear inverse problem: the Escherichia Coli Core Metabolism Model.
ldei | Weighted Least Distance Programming with equality and inequality constraints.
ldp | Least Distance Programming
limSolve | Solving Linear Inverse Models
linp | Linear Programming.
lsei | Least Squares with Equalities and Inequalities
Minkdiet | An underdetermined linear inverse problem: estimating diet composition of Southeast Alaskan Mink.
nnls | Nonnegative Least Squares
resolution | Row and column resolution of a matrix.
RigaWeb | An underdetermined linear inverse problem: the Gulf of Riga *spring* planktonic food web
Solve | Generalised inverse solution of Ax = B
Solve.banded | Solution of a banded system of linear equations
Solve.block | Solution of an almost block diagonal system of linear equations
Solve.tridiag | Solution of a tridiagonal system of linear equations
varranges | Calculates ranges of inverse variables in a linear inverse problem
varsample | Samples the probability density function of variables of linear inverse problems.
xranges | Calculates ranges of the unknowns of a linear inverse problem
xsample | Randomly samples an underdetermined problem with linear equality and inequality constraints