nls refers to nonlinear least-squares and is a function in R that allows to estimate the parameters of a nonlinear model.
nls should not be confused with nls-lang which is an environment variable for Oracle databases.
Questions tagged [nls]
670 questions
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Natural lagnuage generation via RNN and csv data
I'm a beginner of TensorFlow and machine learning.
I'd like to ask about how I can make some code.
I'm trying to make a natural language generation program by RNN.
you can see the picture which is data, there're x, y, vocab_size and max_len each…
Sehwan.Yoo
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Trying to fit some data, but start values and parameters error when I try to run nls
I'm trying to fit some data to an equation and keep running into the same error :
Error in nls(y ~ A + (B * exp(1) * ((-(x - K)^2)/(2 * (E)^2))) + (G * :
parameters without starting value in 'data': B, K, E, G, H, J
gausform <- function(x, A, B,…
Tram N.
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Comparing complete model versus a null model with nls
I'd like to comparing a complete non-linear model with a null model. Is this possible, considering approaches normally using with glm for example? In my case:
#Packages
library(minpack.lm)
# Data set - Diameter in function of Feature and…
Leprechault
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2 answers
nls() michaelis menten negative parameter
I am trying to fit michaelis menten equation to a dataset to determine rate of disappearance as well as IC50 (Km) if data permits. I am getting good fit except the first point at concentration 0, however, I am getting negative value of Km, which is…
Krina M
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nls function in R within functions and lists
I am working with a package written in R-to fit experimental data to specific models
and I want to write my own model and use same package(authors claim it is possible).
So I am digging the source files to find where they define the model functions.…
behre
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2 answers
Using R's nls, how to define the coefficients' individual formulae / constraints?
I've got a model to be estimated through the non-linear least squares method. The model is specified in such a way that I have a main formula having 5 coefficients which in turn have their own formulas dependent on total of four coefficients. The…
infoholic_anonymous
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nls regression and storing output coefficients and plots
I tried to make reproducible data as suggested by How to make a great R reproducible example?:
structure(list(ID = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L,…
i.love.broccoli
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Oracle equivalence classes not working in regular expressions
The following Oracle equivalence class regular expression:
SELECT REGEXP_SUBSTR('eéëèÉËÈE' '[[=É=]]+') FROM dual;
is supposed to return:
eéëèÉËÈE
but instead it returns:
É
I've also tried putting the following in front of it:
alter session set…
Superdooperhero
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facing error with "nlsLM" in R?
I am trying to fit some data using this equation:y= (exp(p1x1+p2x2+p3)+p4)^p5
here is a reproducible example:
dat1 <- array(1:60, c(3,5,4));dat1=dat1*2
dat2 <- array(1:60, c(3,5,4));dat2=dat2*0.5
dat3 <- array(1:60, c(3,5,4))
#reorder dimensions…
sacvf
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Nonlinear model convergence
I have a time series data set and each time series has datapoint of 30-year from different/same species. I am developing a forecasting model using the first 23 years of data from each time series data point and I am using the rest 7 years as test…
Stackuser
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