In statistics, nonlinear regression is a form of regression analysis in which observations are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables.
Questions tagged [non-linear-regression]
732 questions
-1
votes
1 answer
Singular gradient error with R's nls / nlsLM
I would like to do a non-linear regression with a logit function like brian s. cheng, based on
Fox & Weisberg.
I wanted to go the most pain-free way
and went with nls, but got the error
Error in lm.fit(x, y, offset = offset, singular.ok =…
Make42
- 12,236
- 24
- 79
- 155
-1
votes
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
- 135
- 2
- 13
-1
votes
1 answer
Fitting and plotting non linear regression in R
I am trying to fit a non linear function to a given set of data (x and y in code snippet), the function is defined as
f(x) = a/((sin((x-b)/2))^4)
x <- c(0, 5, -5, 10, -10, 15, -15, 20, -20, 25, -25, 30, -30)
y <- c(4.21, 3.73, 2.08, 1.1, 0.61,…
Honj25
- 1
- 1
-1
votes
1 answer
Loss not converging in Polynomial regression in Tensorflow
import numpy as np
import tensorflow as tf
#input data:
x_input=np.linspace(0,10,1000)
y_input=x_input+np.power(x_input,2)
#model parameters
W = tf.Variable(tf.random_normal([2,1]), name='weight')
#bias
b = tf.Variable(tf.random_normal([1]),…
Vikraman Karunanidhi
- 13
- 3
-1
votes
2 answers
Why do I get this error below while using the Cubist package in R?
I have some personal dataset. So I split it into variable to predict and predictors.
Following is the syntax:
library(Cubist)
str(A)
'data.frame': 6038 obs. of 3 variables:
$ ads_return_count : num 7 10 10 4 10 10 10 10 10 9 ...
$ actual_cpc …
Sourav Sarkar
- 406
- 1
- 5
- 14
-2
votes
1 answer
Scikit-learn regression on two variables given a 2D matrix of reference values
I have a matrix of reference values and would like to learn how Scikit-learn can be used to generate a regression model for it. I have done several types of univariate regressions in the past but it's not clear to me how to use two variables in…
ortunoa
- 345
- 4
- 11
-2
votes
1 answer
How to do multiple polynomial regression in R?
To do a [muliple] linear regression model, one uses lm
Is it possible to derive a multiple polynomial regression model? Where each coefficient is a polynomial function?
thistleknot
- 1,098
- 16
- 38
-2
votes
3 answers
How to handle missing columns in test data?
I have training data as like following
col1 col2 col3 col4 col5 Target
187.67 448.41 45.7 880070.41 1 -3
95.44 446.08 70.51 909069.06 4 120
I need to build a model and test with following data,
col1 col2 …
sakthi vel
- 21
- 6
-2
votes
1 answer
Non-linear regressions with caret package in R
I'm new using R and my doubt is really basic.
I have several dependent variables (x) and one independent variable (y), and I'd like to generate different regression models with 10-folds-cross-validation in order to select the better one. All my…
Pablo
- 463
- 1
- 5
- 12
-3
votes
1 answer
Non Linear regression for Finding parameters in Python
I have a function Y=a+b*(x)^c and a List of experimental values of x and y. How can I do curve fitting for it in python and find out the value of parameters a,b and c?
x y
5.107 3.57
15.593 4.09
178.942 9.19
351.23 14.3
523.172 …
-4
votes
2 answers
How to perform a non linear regression for my data
I have set of Temperature and Discomfort index value for each temperature data. When I plot a graph between temperature(x axis) and Calculated Discomfort index value( y axis) I get a reversed U-shape curve. I want to do non linear regression out of…
Arul
- 349
- 2
- 4
- 10
-6
votes
1 answer
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
- 59
- 7