How perform anova tests after using regress in MATLAB?

Hi! I'm trying to perform ANOVA analysis for a multiple regression model built using

regress 

This is my model:

clc; clear; close all;
load('pred_zeros')

D = [Zero L_mean R_mean];
D(any(isnan(D), 2), :) = []; %remove NaN from matrix D

%linear regression 
X  =[ones(size(D(:,1),1),1),D(:,1),D(:,2)];
b  = regress(D(:,3), X);
Rmean_regr = b(1) + D(:,1)*b(2) + D(:,2)*b(3);

[~,~,~,~,stats] = regress(D(:,3), X); %model statistic

I only generate model statistics using stats. How should i do?

Answer 1

[Jeff Miller]

Elisa, I think this might do what you want:

%linear regression 
d1 = D(:,1);
d2 = D(:,2);
d3 = D(:,3);
t = table(d1,d2,d3);
mdl12 = fitlm(t,'d3~d1+d2');
a = anova(mdl12)

[EM geo]

exactly!! thank you!!

Answer 2

[Jeff Miller]

It's a little difficult to say because "perform ANOVA" can mean several different things with regression models.

Usually the best approach is to make comparisons among models, where you fit several different regression models and compare their SSerror's. MATLAB's 'stepwisefit' does that, so you might have a look and see whether that will answer the specific question(s) that you have.

[EM geo]

Jeff thank you for your reply. I was seraching for ANOVA analysis to apply to regression methods and i found this link https://it.mathworks.com/help/stats/linearmodel.anova.html#bszh780-1_sep_shared-mdl

I was wondering if is it possible to apply it to regress function. Can you help me about this?