class_docstr: Class for the manifold of full-rank correlation matrices.
  
  Parameters
  ----------
  n : int
      Integer representing the shape of the matrices: n x n.
docstr: Project a matrix to the space of correlation matrices.
  
  Parameters
  ----------
  point : array-like, shape=[..., n, n]
      Matrix to project.
docstr_tok: ["Project","a","matrix","to","the","space","of","correlation","matrices",".","Parameters","--","--","--","--","--","point",":","array-like",",","shape=","[","...",",","n",",","n","]","Matrix","to","project","."]
code: def projection(self, point):
      """Project a matrix to the space of correlation matrices.
  
      Parameters
      ----------
      point : array-like, shape=[..., n, n]
          Matrix to project.
      """
      spd = self.embedding_space.projection(point)
      return self.from_covariance(spd)
  
imports: import geomstats.backend
  from geomstats.geometry.base import LevelSet
  from geomstats.geometry.diffeo import ComposedDiffeo
  from geomstats.geometry.fiber_bundle import FiberBundle
  from geomstats.geometry.general_linear import GeneralLinear
  from geomstats.geometry.hyperboloid import Hyperboloid
  from geomstats.geometry.matrices import Matrices
  from geomstats.geometry.open_hemisphere import OpenHemispheresProduct, OpenHemisphereToHyperboloidDiffeo
  from geomstats.geometry.positive_lower_triangular_matrices import UnitNormedRowsPLTDiffeo
  from geomstats.geometry.pullback_metric import PullbackDiffeoMetric
  from geomstats.geometry.quotient_metric import QuotientMetric
  from geomstats.geometry.spd_matrices import CholeskyMap, SPDAffineMetric, SPDMatrices
label_desc: Use image node_id 9 for calling the FullRankCorrelationMatrices obj's underlying member method code with example usage: obj.projection(point) and returns: self