I am asked to perform a linear regression to find "k". t=[0 500 1000 1500 2000 2500 3000]; CA=[0.1 0.0892 0.0776 0.0705 0.0603 0.0542 0.0471]; I am not sure how to use this equation exactly in the code or even if i need to find k. I am new to Matlab, it is a bit ...
Ramesh (2011), A MATLABTM code to perform weighted linear regression with (correlated or uncorrelated) errors in bivariate data, J Geol Soc India, 77(4), 377-380.Thirumalai, K., Singh, A., Ramesh, R.: A matlabTM code to perform weighted linear regression with (correlated or uncorrelated...
This MATLAB function estimates parameters of a SimBiology model sm using nonlinear least-squares regression.
This MATLAB function creates a linear model for the variables in the table tbl using stepwise regression to add or remove predictors, starting from a constant model.
Probe sequences in each probe set Affymetrix GeneChip array type (FASTA file only) The sequence file (tab-separated or FASTA) must be on the MATLAB®search path or in the Current Folder (unless you use theSeqPathproperty). In a tab-separated file, each row represents a probe; in a FA...
How can I perform multivariable polynomial curve... Learn more about polynomial, curve, fitting, multivariable MATLAB, Curve Fitting Toolbox, Statistics and Machine Learning Toolbox
A matlab EEG toolbox to perform overlap correction and non-linear & linear regression. - unfoldtoolbox/unfold
This MATLAB function estimates parameters of a SimBiology model sm using nonlinear least-squares regression.
pkmd = PKModelDesign; pkc1 = addCompartment(pkmd,'Central'); pkc1.DosingType = 'Infusion'; pkc1.EliminationType = 'linear-clearance'; pkc1.HasResponseVariable = true; pkc2 = addCompartment(pkmd,'Peripheral'); model = construct(pkmd); configset = getconfigset(model); configset.Compil...
pkmd = PKModelDesign; pkc1 = addCompartment(pkmd,'Central'); pkc1.DosingType = 'Infusion'; pkc1.EliminationType = 'linear-clearance'; pkc1.HasResponseVariable = true; pkc2 = addCompartment(pkmd,'Peripheral'); model = construct(pkmd); configset = getconfigset(model); configset.Compil...