Finding Principal components from eigen vector matrix

I am using the following code to find the principal components train_set=xlsread('xdata.xlsx'); coef=pca(train_set); c=cov(coef); [V,D]=eig(c); here train_set is 100x6 data matrix and coef is 6x6 matrix c is also 6x6 matrix v is also a 6x6 matrix which is the eigen vector and D is the diagonal eigen value matrix.

I am trying to find the 6 principal components and I cannot seem to find how? I know I am supposed to find the greatest eigen vector corresponding to the eigen value as my first principal component. I would appreciate if somebody could help me with this.

Answer 1

[KALYAN ACHARJYA]

There are multiple answers related to your question.

Have you checked here.

From the last part, you can follow the steps to finding the PCA components from eig.

% dd are the eigenvalue for both L=dbx'*dbx and C=dbx*dbx';
[vv dd]=eig(L);