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 single quotes (' '
).
You can specify several name and value pair
arguments in any order as Name1,Value1,...,NameN,ValueN
.

Positive scalar from Default: 

String specifying the 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.