Description Usage Arguments Value See Also Examples
sir is a method used to fit slicedinverse regression models
1 
Y 
numerical vector of size n containing the response to predict. 
X 
numerical matrix of dimension n by p regressors 
H 
integer (by default 10) which set the number of slices 
K 
integer (by default 1) which set the number of component taken. Only 1 is possible right now. 
Ylabel 
a character value containing the name of the Y varaible 
An object with S3 class "sir" with the following components:
beta 

index 

H 
H parameter passed througth the function 
K 
K parameter passed througth the function 
hopt 
bandwidth value of the kernel tuned to smooth the points and predict new values.
For more explaination see 
Xlabels 
a character vector containing the p regessor names 
Ylabel 
a character value containing the response variable name 
x_train 
the training matrix X of dimension 
y_train 
the training response vector Y of length 
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