Which of the following statements regarding PCA is false?

Question $3$ options:

PCA assumes that the principal components are orthogonal to each other.

PCA can be applied to both numerical and categorical data.

PCA is an unsupervised learning technique.

PCA can be sensitive to the scale of the original features.