LTPDA Toolbox™

Method matrix/lscov

  LSCOV is a wrapper for MATLAB's lscov function.
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  DESCRIPTION: LSCOV is a wrapper for MATLAB's lscov function. It solves a
  set of linear equations by performing a linear least-squares fit. It
  solves the problem
 
         Y = HX
 
    where X are the parameters, Y the measurements, and H the linear
    equations relating the two.
 
  CALL:        X = lscov([C1 C2 ... CN], Y, pl)
               X = lscov(C1,C2,C3,...,CN, Y, pl)
 
  INPUTS:      C1...CN - MATRIX objects with inside AOs or AOs which
                         represent the columns of H.
               Y       - AO which represents the measurement set
               pl      - Parameter list (see below)
 
  Note: The length of the vectors in Ci and Y must be the same.
  Note: The last input AO is taken as Y.
 
  OUTPUTs:     X  - A pest object with fields:
                    y   - the N fitting coefficients to y_i
                    dy  - the parameters' standard deviations (lscov 'STDX' vector)
                    cov - the parameters' covariance matrix (lscov 'COV' vector)
 
  Parameters Description
 
  SEE ALSO: ao/lscov
 
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Method Details
Access	public
Defining Class	matrix
Sealed	0
Static	0

Parameter Description

Sets for this method …
Default

Default
no description
Key	Default Value	Options	Description
lscov
WEIGHTS	[]	none	An ao containing weights for the fit.
COV	[]	none	An ao containing a covariance matrix for the fit.

Example
plist('WEIGHTS', [[]], 'COV', [[]])

Some information of the method matrix/lscov are listed below:
Class name	matrix
Method name	lscov
Category	Operator
Package name	ltpda
VCS Version	967b0eec0dece803a81af8ef54ad2f8c784b20b2
Min input args	2
Max input args	-1
Min output args	1
Max output args	-1
Can be used as modifier	0
Supported numeric types	{'double'}

Method: matrix/linearize

Method: matrix/mean

Method matrix/lscov

Parameter Description

Default

Example