Make predictions or extract coefficients from a fitted SPLS model
Make predictions or extract coefficients from a fitted SPLS object.
## S3 method for class 'spls'
predict( object, newx, type = c("fit","coefficient"), ... )
## S3 method for class 'spls'
coef( object, ... )object |
A fitted SPLS object. |
newx |
If |
type |
If |
... |
Any arguments for |
Users can input either only selected variables or all variables for newx.
Matrix of coefficient estimates if type="coefficient".
Matrix of predicted responses if type="fit".
Dongjun Chung, Hyonho Chun, and Sunduz Keles.
Chun H and Keles S (2010), "Sparse partial least squares for simultaneous dimension reduction and variable selection", Journal of the Royal Statistical Society - Series B, Vol. 72, pp. 3–25.
plot.spls and print.spls.
data(yeast) # SPLS with eta=0.7 & 8 latent components f <- spls( yeast$x, yeast$y, K=8, eta=0.7 ) # Coefficient estimates of the SPLS fit coef.f <- coef(f) coef.f[1:5,] # Prediction on the training dataset pred.f <- predict( f, type="fit" ) pred.f[1:5,]
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