Set of generalised least-squares models

Fitting a specific set of generalisd least-squares models with order restrictions.

orglsSet(formula, data, weights = NULL, correlation = NULL, set,
  direction = "increase", n = NULL, base = 1, control = orlmcontrol())

Arguments

formula	an object of class "formula" (or one that can be coerced to that class): a symbolic description of the model to be fitted.
data	an optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing the variables in the model. If not found in data, the variables are taken from environment(formula), typically the environment from which lm is called.
weights	a varClasses object; more details are provided on the help pages in R package nlme
correlation	a corClasses object; more details are provided on the help pages in R package nlme
set	either a character string (see constrSet), or a list with slots for constr, rhs, and nec similarly defined as in orlm
direction	direction of the order constraints
n	a (possibly named) vector of sample sizes for each group
base	column of the constraint matrix representing a control group
control	a list of control arguments; see orlmcontrol for details.

Value

a list with orgls objects

Details

This function is just a wrapper for repeated calls of orgls with different constraint definitions. Predefined lists with constraint-sets can be constructed with function constrSet.

See also

orgls, constrSet, goric