This function is used to fit linear models considering Laplace errors.
1 2 
formula 
an object of class 
data 
an optional data frame containing the variables in the model. If
not found in 
method 
character string specifying the algorithm to use. The default
algorithm is the Barrodale and Roberts algorithm 
subset 
an optional expression indicating the subset of the rows of data that should be used in the fit. 
na.action 
a function that indicates what should happen when the data contain NAs. 
control 
a list of control values for the estimation algorithm to replace
the default values returned by the function 
model, x, y 
logicals. If 
contrasts 
an optional list. See the 
an object of class lad
representing the linear model fit. Generic
function print
, show the results of the fit.
The design was inspired by the R function lm
.
Barrodale, I., and Roberts, F.D.K. (1974). Solution of an overdetermined system of equations in the L1 norm. Communications of the ACM 17, 319320.
Phillips, R.F. (2002). Least absolute deviations estimation via the EM algorithm. Statistics and Computing 12, 281285.
1  lad(stack.loss ~ ., data = stackloss, method = "EM")

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