Implementation of Locally Scaled Density Based Clustering (LSDBC) algorithm proposed by Bicici and Yuret (2007) <doi:10.1007/978-3-540-71618-1_82>. This package also contains some supporting functions such as betaCV() function and get_spectral() function.

Fit a least-squares dummy variable regression model

Fit a least square dummy variable regression

Solving Least Squares Problems under Equality/Inequality
Constraints
c(
person("Yong", "Wang", email = "yongwang@auckland.ac.nz", role = c("aut","cre")),
person("Charles L.", "Lawson", role = "aut"),
person("Richard J.", "Hanson", role = "aut"))
It contains functions that solve least squares linear
regression problems under linear equality/inequality
constraints. It is developed based on the 'Fortran' program of
Lawson and Hanson (1974, 1995), which is public domain and
available at http://www.netlib.org/lawson-hanson.
Yong Wang [aut, cre],
Charles L. Lawson [aut],
Richard J. Hanson [aut]

c(
person("Yong", "Wang", email = "yongwang@auckland.ac.nz",
role = c("aut","cre")),
person("Charles L.", "Lawson", role = "aut"),
person("Richard J.", "Hanson", role = "aut"))

Solving Least Squares or Quadratic Programming Problems under
Equality/Inequality Constraints
It contains functions that solve least squares linear
regression problems under linear equality/inequality
constraints. Functions for solving quadratic programming
problems are also available, which transform such problems
into least squares ones first. It is developed based on the
'Fortran' program of Lawson and Hanson (1974, 1995), which is
public domain and available at
<http://www.netlib.org/lawson-hanson>.
Orphaned and corrected on 2020-05-06 as check problems
were not corrected despite reminders.

It contains functions that solve least squares linear
regression problems under linear equality/inequality
constraints. Functions for solving quadratic programming
problems are also available, which transform such problems
into least squares ones first. It is developed based on the
'Fortran' program of Lawson and Hanson (1974, 1995), which is
public domain and available at
<http://www.netlib.org/lawson-hanson/>.