nk::stats::NlinfitResult Struct Reference

Nonlinear least-squares fit result ([beta, R, J, CovB, MSE] = nlinfit(X, y, fun, beta0)). More...

#include <regress.hpp>

Public Attributes
Value	beta
	Parameter estimates (p × 1).
Value	R
	Residuals (n × 1).
Value	J
	Jacobian at beta (n × p).
Value	CovB
	Parameter covariance (p × p).
Value	MSE
	Mean squared error (scalar).

Detailed Description

Nonlinear least-squares fit result ([beta, R, J, CovB, MSE] = nlinfit(X, y, fun, beta0)).

Definition at line 86 of file regress.hpp.

Member Data Documentation

beta

Value nk::stats::NlinfitResult::beta

Parameter estimates (p × 1).

Definition at line 87 of file regress.hpp.

CovB

Value nk::stats::NlinfitResult::CovB

Parameter covariance (p × p).

Definition at line 90 of file regress.hpp.

J

Value nk::stats::NlinfitResult::J

Jacobian at beta (n × p).

Definition at line 89 of file regress.hpp.

MSE

Value nk::stats::NlinfitResult::MSE

Mean squared error (scalar).

Definition at line 91 of file regress.hpp.

R

Value nk::stats::NlinfitResult::R

Residuals (n × 1).

Definition at line 88 of file regress.hpp.

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The documentation for this struct was generated from the following file:

• regress.hpp