We develop a Principal Component Analysis aimed at classifying a subset
of 27 350 spectra of galaxies in the range 0.4 <z <1.0 collected
by the VIMOS Public Extragalactic Redshift Survey (VIPERS). We apply an
iterative algorithm to simultaneously repair parts of spectra affected
by noise and/or sky residuals, and reconstruct gaps due to rest-frame
transformation, and obtain a set of orthogonal spectral templates that
span the diversity of galaxy types. By taking the three most significant
components, we find that we can describe the whole sample without
contamination from noise. We produce a catalogue of eigencoefficients
and template spectra that will be part of future VIPERS data releases.
Our templates effectively condense the spectral information into two
coefficients that can be related to the age and star formation rate of
the galaxies. We examine the spectrophotometric types in this space and
identify early, intermediate, late and starburst galaxies.