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daewr (version 1.2-11)

fhstepDS: Forward Stepwise modeling taking into account special structure of Definitive Screening Design

Description

This function performs a single step of a forward stepwise regression by entering an additional 2nd order term to a model already created by FitDefSc.R or fhstepDS.R This function is called by FitDefSc.R

Usage

fhstepDS(y,des,m,c,prvm)

Value

returned vector of terms entered in the model at this step.

Arguments

y

input - this is a data frame containing a single numeric column of response data.

des

input - this is a data frame containing the numeric columns of the candidate independent variables. The column names of des are of length 1 i.e., letters of the alphabet. The m three-level factors always preceed the c two-level factors in the design.

m

input - this is an integer equal to the number of three-level factors in the design

c

input - this is an integer equal to the number of two-level factors in the design. Note m+c must be equal to the number of columns of des.

prvm

input - this is a vector of text names of the terms in the model. This is created as the value resulting from running ihstep or fhstep.

Author

John Lawson