# CMLS

Constrained Multivariate Least Squares

Solves multivariate least squares (MLS) problems subject to constraints on the coefficients, e.g., non-negativity, orthogonality, equality, inequality, monotonicity, unimodality, smoothness, etc. Includes flexible functions for solving MLS problems subject to user-specified equality and/or inequality constraints, as well as a wrapper function that implements 24 common constraint options. Also does k-fold or generalized cross-validation to tune constraint options for MLS problems. See ten Berge (1993, ISBN:9789066950832) for an overview of MLS problems, and see Goldfarb and Idnani (1983)

- Version1.0-1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release03/31/2023

## Documentation

## Team

### Nathaniel E. Helwig

## Insights

### This package has been downloaded **662** times in the last 30 days. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded **23** times.

Data provided by cranlogs

## Binaries

## Dependencies

- Depends2 packages
- Reverse Depends1 package
- Reverse Imports1 package
- Reverse Suggests1 package