pca
pca(X) returns the principal component coefficients for the data matrix X.
[coeff score latent] = pca(X) returns:
[coeff score latent] = pca(X) returns:
- in coeff the principal component coefficients
- in score the principal component scores
- in latent the principal component variances
Examples
> y1 = [191; 195; 181; 183; 176; 208; 189; 197; 188; 192; 179; 183; 174; 190; 188; 163; 195; 186; 181; 175; 192; 174; 176; 197; 190] > y2 = [155; 149; 148; 153; 144; 157; 150; 159; 152; 150; 158; 147; 150; 159; 151; 137; 155; 153; 145; 140; 154; 143; 139; 167; 163] > [coeff score latent] = pca([y1,y2]) > coeff# 0,82492945 -0,565235705 0,565235705 0,82492945 > latent# 131.5183337 18.13499961