Index

C | D | F | M | N | O | P | Q | R | S | T | U | W | X | Y

C

C (Orange.regression.pls.PLSRegression attribute)
coefs (Orange.regression.pls.PLSRegression attribute)

D

deflationMode (Orange.regression.pls.PLSRegressionLearner attribute)

F

fit() (Orange.regression.pls.PLSRegressionLearner method)

M

maxIter (Orange.regression.pls.PLSRegressionLearner attribute)
muX (Orange.regression.pls.PLSRegression attribute)
muY (Orange.regression.pls.PLSRegression attribute)

N

nComp (Orange.regression.pls.PLSRegressionLearner attribute)
Neural Network Classifier
Neural Network Learner, [1]
NeuralNetworkClassifier (class in Orange.classification.neural)
NeuralNetworkLearner (class in Orange.classification.neural)
nipals_xy() (in module Orange.regression.pls)
normalize_matrix() (in module Orange.regression.pls)

O

Orange.classification.neural (module)
Orange.regression.pls (module)

P

P (Orange.regression.pls.PLSRegression attribute)
PLSRegression (class in Orange.regression.pls)
PLSRegressionLearner (class in Orange.regression.pls)

Q

Q (Orange.regression.pls.PLSRegression attribute)

R

regression

S

sigmaX (Orange.regression.pls.PLSRegression attribute)
sigmaY (Orange.regression.pls.PLSRegression attribute)
svd_xy() (in module Orange.regression.pls)

T

T (Orange.regression.pls.PLSRegression attribute)
to_string() (Orange.regression.pls.PLSRegression method)

U

U (Orange.regression.pls.PLSRegression attribute)

W

W (Orange.regression.pls.PLSRegression attribute)

X

x_vars (Orange.regression.pls.PLSRegression attribute)
xVars (Orange.regression.pls.PLSRegression attribute)

Y

y_vars (Orange.regression.pls.PLSRegression attribute)
yVars (Orange.regression.pls.PLSRegression attribute)