How do I align 3D landmark data to a Procrustes fit -using r package Morpho?

[CatherineBone1]

I'm using r-package Morpho - and I don't know which function to use to scale, translate and rotate the a landmark dataset onto the superimposed configurations by using corresponding landmarks.

I have an array of 3D landmark data defined as 931 x 3 x 4. For each of the four individuals (3rd dim) the first 617 rows contain soft tissue landmarks, and the following 314 rows contain hard tissue landmarks

combinedarray<-array(c(Comp1matrix,Comp2matrix,Comp3matrix,Comp4matrix), dim=c(931,3,4))

I've done a Procrustes fit for hard tissue configurations

hardproc<-procSym(combinedarray[618:931,,])

Now I need to register the complete landmark configurations (soft and hard tissue) of all specimens within the bone-tissue shape space - how do I do this?

I've tried

rot<-rotonto(hardproc$orpdata[,,1],Comp1matrix[618:931,])
and
newalign<-align2procSym(hardproc,Comp1matrix[618:931,])

but they only give me 314 rows of data, but I think I need a matrix of dimensions of the total landmarks (931)

Morpho package = https://cran.r-project.org/web/packages/Morpho/Morpho.pdf
page 140 of this dissertation explains how to do it but I unfortunately don't understand it as I'm not a programmer URL: FreiDok plus - Soft-tissue reconstruction of the human nose : population differences and sexual dimorphism.

Thanks for your help

[CatherineBone1]

I think I worked it out
I think it could possibly be the functions computeTransform and applyTransform.
I used a random hard tissue sample as the fixed landmarks and then I applied the Compute and Apply transform to each of the combined (hard and soft) samples

trafo<-computeTransform(combinedarray[,,2],combinedarray[618-931,,4])

transLM<-applyTransform(combinedarray[,,4],trafo)

Fingers crossed its correct!