class_docstr: Class for fitting the Correlation Tensor Model 
class_docstr_tok: ["Class","for","fitting","the","Correlation","Tensor","Model"]
docstr: Initialize a CorrelationTensorFit class instance.
  
  Parameters
  ----------
  model : CorrelationTensorModel Class instance
      Class instance containing the Correlation Tensor Model for the fit
  model_params : ndarray (x, y, z, 48) or (n, 48)
      All parameters estimated from the diffusion kurtosis model.
      Parameters are ordered as follows:
          1) Three diffusion tensor's eigenvalues
          2) Three lines of the eigenvector matrix each containing the
             first, second and third coordinates of the eigenvector
          3) Fifteen elements of the kurtosis tensor
          4) Twenty One elements of the covariance tensor
docstr_tok: ["Initialize","a","CorrelationTensorFit","class","instance",".","Parameters","--","--","--","--","--","model",":","CorrelationTensorModel","Class","instance","Class","instance","containing","the","Correlation","Tensor","Model","for","the","fit","model_params",":","ndarray","(","x",",","y",",","z",",","48",")","or","(","n",",","48",")","All","parameters","estimated","from","the","diffusion","kurtosis","model",".","Parameters","are","ordered","as","follows",":","1",")","Three","diffusion","tensor","'s","eigenvalues","2",")","Three","lines","of","the","eigenvector","matrix","each","containing","the","first",",","second","and","third","coordinates","of","the","eigenvector","3",")","Fifteen","elements","of","the","kurtosis","tensor","4",")","Twenty","One","elements","of","the","covariance","tensor"]
code: def __init__(self, model, model_params):
      """Initialize a CorrelationTensorFit class instance.
  
      Parameters
      ----------
      model : CorrelationTensorModel Class instance
          Class instance containing the Correlation Tensor Model for the fit
      model_params : ndarray (x, y, z, 48) or (n, 48)
          All parameters estimated from the diffusion kurtosis model.
          Parameters are ordered as follows:
              1) Three diffusion tensor's eigenvalues
              2) Three lines of the eigenvector matrix each containing the
                 first, second and third coordinates of the eigenvector
              3) Fifteen elements of the kurtosis tensor
              4) Twenty One elements of the covariance tensor
  
      """
      DiffusionKurtosisFit.__init__(self, model, model_params)
  
imports: import numpy
  from dipy.reconst.multi_voxel import multi_voxel_fit
  from dipy.reconst.base import ReconstModel
  from dipy.reconst.utils import cti_design_matrix
  from dipy.reconst.dki import DiffusionKurtosisFit
  from dipy.reconst.dti import decompose_tensor, from_lower_triangular, lower_triangular, MIN_POSITIVE_SIGNAL
  from dipy.core.onetime import auto_attr
label_desc: Use image node_id 1 to create a new CorrelationTensorFit object from inherited base classes: DiffusionKurtosisFit with example: obj = CorrelationTensorFit(model, model_params)