Class: NonLinearModel
Predict response of nonlinear regression model
ypred = predict(mdl,Xnew)
[ypred,yci]
= predict(mdl,Xnew)
[ypred,yci]
= predict(mdl,Xnew,Name,Value)
returns
the predicted response of the ypred
= predict(mdl
,Xnew
)mdl
nonlinear regression
model to the points in Xnew
.
[
returns
confidence intervals for the true mean responses.ypred
,yci
]
= predict(mdl
,Xnew
)
[
predicts
responses with additional options specified by one or more ypred
,yci
]
= predict(mdl
,Xnew
,Name,Value
)Name,Value
pair
arguments.

Nonlinear regression model, constructed by 

Points at which

Specify optional
commaseparated pairs of Name,Value
arguments. Name
is
the argument name and Value
is the corresponding value.
Name
must appear inside quotes. You can specify several name and value
pair arguments in any order as
Name1,Value1,...,NameN,ValueN
.

Positive scalar from Default: 

Type of prediction:
For details, see Default: 

Logical value specifying whether the confidence bounds are for
all predictor values simultaneously ( For details, see Default: 

Vector of real, positive value weights or a function handle.
Given weights, Default: No weights 

Predicted mean values at 

Confidence intervals, a twocolumn matrix with each row providing one interval. The meaning of the confidence interval depends on the settings of the namevalue pairs. 
[1] Lane, T. P. and W. H. DuMouchel. “Simultaneous Confidence Intervals in Multiple Regression.” The American Statistician. Vol. 48, No. 4, 1994, pp. 315–321.
[2] Seber, G. A. F., and C. J. Wild. Nonlinear Regression. Hoboken, NJ: WileyInterscience, 2003.