Module PRE-FIT in DATAPLOT

• DATAPLOT Information

• Components
  • Documentation from ITL

PRE-FIT

 
Fits a nonlinear model (including linear and polynomial models) to data over a
specified discrete lattice of parameter values by least squares, least absolute
value, and, optionally, other L-p criteria. For the best and worst set parameter
values for each criterion, output includes coefficients and their standard
deviations, predicted values, residuals, residual standard deviation,
residual degrees of freedom, and lack-of-fit analysis if there is replication.
 
Classes  :  L8c3 .   Multiple linear L-p regression for p different from 2
            L8e1b1 . Parameter estimation in nonlinear least squares
                   regression using unweighted data, user provides no
                   derivatives
 
Type     : Command(s) in DATAPLOT interactive system
Access   : Public domain. Portable with some effort.
Precision: Single.
 
Usage    : PRE-FIT  =  FOR  (OR FOR POLYNOMIAL
           MODELS, BEGIN COMMAND WITH DEGREE OF POLYNOMIAL, E.G., QUADRATIC
           PRE-FIT =...)
 
Details  : Documentation
Sites    : (1) ARNO (2) ITL
 

Implementation of PRE-FIT from DATAPLOT on ARNO

 
ARNO:      Silicon Graphics Origin 2000, National Institute of Standards and
           Technology (NIST), Gaithersburg, MD. Available to NIST staff.
 
Precision: Single.
 
Those logged in to arno.nist.gov or amur.nist.gov may access this module as
follows.
 
   Run          : dataplot
   Documentation: help PRE-FIT (in Dataplot)
 

Implementation of PRE-FIT from DATAPLOT on ITL

 
ITL:       Unix Workstation Network, National Institute of Standards and
           Technology (NIST), Gaithersburg, MD. Available to NIST staff.
 
Precision: Single.
 
Access available only to NIST staff on internal Unix systems. They may access this
package provided the /itl tree is cross-mounted.
 
   Run          : dataplot
   Documentation: help PRE-FIT (in Dataplot)