.\" -*- nroff -*- generated from .Rd format
.BG
.FN SSasympOrig
.TL
Asymptotic Regression Model through the Origin
.DN
This `selfStart' model evaluates the asymptotic regression
function through the origin and its gradient.  It has an
`initial' attribute that will evaluate initial estimates of the
parameters `Asym' and `lrc' for a given set of data.
.CS
SSasympOrig(input, Asym, lrc)
.RA
.AG input
a numeric vector of values at which to evaluate the model.
.AG Asym
a numeric parameter representing the horizontal asymptote.
.AG lrc
a numeric parameter representing the natural logarithm of
the rate constant.
.RT
a numeric vector of the same length as `input'.  It is the value of
the expression `Asym*(1 - exp(-exp(lrc)*input))'.  If all of the
arguments `Asym' and `lrc' are names of objects, the gradient matrix
with respect to these names is attached as an attribute named
`gradient'.

.SA
`nls', `selfStart'
.EX
Lob.329 <- Loblolly[ Loblolly$Seed == "329", ]
SSasympOrig( Lob.329$age, 100, -3.2 )  # response only
Asym <- 100
lrc <- -3.2
SSasympOrig( Lob.329$age, Asym, lrc ) # response and gradient
.KW models
.WR
