What is the role of an orthonormal basis in PCA?

Group of answer choices

It introduces non$-$linearity into the projection process

It calculates the reconstruction error of the original data

It provides a set of vectors that are orthogonal $($perpendicular$)$ to each other and have unit length, forming the basis for the subspace in which the data is projected

It determines the number of principal components to be used in the analysis