The statistical model for a Randomized Complete Block Design (RCBD) with multiple observations per cell is $$y_{ijk}=\mu+\tau_{i}+\beta_{j}+(\tau\beta)_{ij}+\epsilon_{ijk},\quad i=1,\ldots ,a, \quad j=1,\ldots, b,\quad k=1,\ldots, s, $$ where $y_{ijk}$ is a random variable that represents the response obtained on the $i$th treatment, the $j$th block, and $k$th observation.
If I have the following table for a RCBD with multiple observations per cell: $$\text{Treatment}$$ $$ \begin{array}{c|ccc} \text{Block}&\text{Brand 1} & \text{Brand 2} & \text{Brand 3} \\ \hline \text{60 watt} & 314 & 285 & 350 \\ & 300 &296 & 339\\ \hline \text{100 watt} & 214 & 196 &235\\ & 205 &205 &247 \end{array} $$
$\mathbf{(1)}$Where are the interaction effects here? $\mathbf{(2)}$Does the effect lie among the observations per treatment in each block? Or between the two blocks per treatment? Or between the pairwise treatments in each block?
$\mathbf{(3)}$How many interactions are in here?
