Dakota Reference Manual
Version 6.4
LargeScale Engineering Optimization and Uncertainty Analysis

Build a polynomial chaos expansion from simulation samples using orthogonal least interpolation.
Alias: least_interpolation oli
Argument(s): none
Required/Optional  Description of Group  Dakota Keyword  Dakota Keyword Description  

Required  collocation_points_sequence  Specify the number of collocation points used to estimate PCE coefficients using orthogonal least interpolation  
Optional  cross_validation  Use cross validation to choose the 'best' polynomial order of a polynomial chaos expansion.  
Optional  tensor_grid  Use subsampled tensorproduct quadrature points to build a polynomial chaos expansion.  
Optional  reuse_points  This describes the behavior of reuse of points in constructing polynomial chaos expansion models.  
Optional  import_build_points_file  File containing points you wish to use to build a surrogate 
Build a polynomial chaos expansion from simulation samples using orthogonal least interpolation. Unlike the other regression methods expansion_order
cannot be set. OLI will produce the lowest degree polynomial that interpolates the data