Aliases (Dependencies) in a Model - Generic function
DESCRIPTION:
Returns the alias pattern from an object or model.

This function is generic (see Methods); method functions can be written to handle specific classes of data. Classes which already have methods for this function include: aovlist, design, formula, lm, mlm.

USAGE: 
alias(object, ...)
REQUIRED ARGUMENTS:
object:
an object, such as a fitted linear model or analysis of variance.
OPTIONAL ARGUMENTS:
...:
additional arguments suitable for the method that will be used.
VALUE:
an object, which represents the kinds of dependency found in the terms of the model.
DETAILS:
The main method for aliasing is alias.lm, defined for linear models but applicable also to models inheriting from these (glm and gam, for example). This returns either the complete or partial aliasing information, or both.
SEE ALSO:
The methods for this function, especially alias.lm .

aov, lm.

EXAMPLES: 
bhh.aov <- aov(Yield ~ Conc * Cat * Temp, catalyst[c(2,3,5,8),])
alias(bhh.aov)


alias(Yield ~ Conc * Cat * Temp, catalyst[c(2,3,5,8),])