MARSAdapted_object {boostingDEA}  R Documentation 
Create an MARSAdapted object
Description
This function saves information about the adapted Multivariate Adaptive Frontier Splines model.
Usage
MARSAdapted_object(
data,
x,
y,
rownames,
nterms,
Kp,
d,
err_red,
minspan,
endspan,
na.rm,
MARS.Forward,
MARS.Forward.Smooth
)
Arguments
data 

x 
Column input indexes in 
y 
Column output indexes in 
rownames 

nterms 
Maximum number of terms created by the forward algorithm . 
Kp 
Maximum degree of interaction allowed. Default is 
d 
Generalized Cross Validation (GCV) penalty per knot. Default is

err_red 
Minimum reduced error rate for the addition of two new basis
functions. Default is 
minspan 
Minimum number of observations between knots. When

endspan 
Minimum number of observations before the first and after the
final knot. When 
na.rm 

MARS.Forward 
The Multivariate Adaptive Frontier Splines model after applying the forward algorithm without the smoothing procedures 
MARS.Forward.Smooth 
The Multivariate Adaptive Frontier Splines model after applying the forward algorithm after applying the smoothing procedure 
Value
A MARSAdapted
object.