R: Solving Least Squares or Quadratic Programming Problems under Equality/Inequality Constraints

# Solving Least Squares or Quadratic Programming Problems under Equality/Inequality Constraints

## Documentation for package ‘lsei’ version 1.3-0

- DESCRIPTION file.

## Help Pages

hfti | Least Squares Solution using Householder Transformation
indx | Index-finding in a Sorted Vector
ldp | Least Squares and Quadratic Programming under Equality and Inequality Constraints
lsei | Least Squares and Quadratic Programming under Equality and Inequality Constraints
lsi | Least Squares and Quadratic Programming under Equality and Inequality Constraints
matMaxs | Row or Column Maximum Values of a Matrix
nnls | Least Squares and Quadratic Programming under Nonnegativity Constraints
pnnls | Least Squares and Quadratic Programming under Nonnegativity Constraints
pnnqp | Least Squares and Quadratic Programming under Nonnegativity Constraints
qp | Least Squares and Quadratic Programming under Equality and Inequality Constraints