Create a nonlinear least squares test in R

stay R The basic syntax for creating nonlinear least squares tests in is -

nls(formula, data, start)

The following is a description of the parameters used -

The formula is a nonlinear model formula containing variables and parameters .

Data is a data frame used to evaluate variables in a formula .

start Is a named list of starting estimates or a named number vector .

Example
We will consider a nonlinear model that assumes the initial value of its coefficients . Next , We will see what the confidence intervals for these assumptions are , So that we can judge the applicability of these values in the model .

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Let's assume that the initial coefficient is 1 and 3, And fit these values to nls() Function .

xvalues <- c(1.6,2.1,2,2.23,3.71,3.25,3.4,3.86,1.19,2.21)
yvalues <- c(5.19,7.43,6.94,8.11,18.75,14.88,16.06,19.12,3.21,7.58)

# Give the chart file a name.
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