PLS_Toolbox Documentation: ffacdes1 | < fastnnls | figmerit > |
ffacdes1
Purpose
Output a fractional factorial design matrix.
Synopsis
desgn = ffacdes1(k,p)
Description
FFACDES1 outputs a 2(k-p) fractional factorial design of experiments. The design is constructed such that the highest order interaction term is confounded. This is one way to select a fractional factorial. Input k is the total number of factors in the design and p is the number of confounded factors {default: p = 1}. Note that it is required that p < k. Output desgn is the experimental design matrix.
See Also
distslct, doptimal, factdes, stdsslct
< fastnnls | figmerit > |