I have two groups (Control and Disease). Each group has 4 individuals (A,B,C and D; X,Y,Z and P). Each subject has 3 technical replicates.

Can I use the following model matrix to remove Individual's effect?

```
model.matrix(~Group + Individual)
```

where Group is a factor and Individual is a numeric vector?

Sample details.

Any differences/similarities between the following two approaches?

`model.matrix(~Group)`

where Group is a factor (Control and Disease)contrast(-1,1)

`model.matrix(~Subject)`

where Subject is a factor (a, b, c, d, x, y, z, p)contrast((x+y+z+p)-(a+b+c+d))

I'm pretty sure the results here would be identical.