A famous (APT) factor pricing model was developed by Chen, Ross and Roll (1986). The model suggests
$$R_{i,t}=a_i + \beta_{i,MP}MP_t + \beta_{i,UI}UI_t + \beta_{i,DEI}DEI_t+\beta_{i,UPR}UPR_t+\beta_{i,UTS}UTS_t+\varepsilon_{i,t},$$
where $\varepsilon_{i,t}$ is an idiosyncratic term. The factors are not all tradable returns. $UPR$ and $UTS$ are, but $MP$, $UI$ and $DEI$ are not. Nonetheless, you can have these factors in your model and use, for example, Fama and MacBeth (1973) regressions to estimate the risk premiums. The individual factors are
Monthly growth in industrial production
$$MP_t = \ln\left(\frac{IP_t}{IP_{t-1}}\right)$$
Unexpected inflation
$$UI_t=I_t-\mathbb{E}_{t-1}[I_t]$$
Change in expected inflation
$$DEI_t=\mathbb{E}_t[I_{t+1}]-\mathbb{E}_{t-1}[I_t]$$
Default risk premium
$$UPR_t=\text{Baa or under bond returns}_t - \text{Long-term government bond returns}_t$$
Term structure premium
$$UTS_t= \text{Long-term government bond returns}_t - \text{Treasuary-bill rate}_{t-1}$$
Sometimes, a researcher may want to use tradable portfolios. Chan, Karceski, and Lakonishok (1998, JFQA) or Cooper and Priestley (2011, JFE) are examples who follow this approach and describe how to obtain mimicking portfolios for the CRR factors.
In doubt, it's always good to see what John Cochrane has to say.
The pricing implications of any model can be equivalently represented
by its factor-mimicking portfolio. If there is any measurement error in a set
of economic variables driving $m$, the factor-mimicking portfolios for the
true $m$ will price assets better than an estimate of $m$ that uses the measured
macroeconomic variables.
Thus, it is probably not a good idea to evaluate economically interesting
models with statistical horse races against models that use portfolio returns
as factors. Economically interesting models, even if true and perfectly
measured, will just equal the performance of their own factor-mimicking
portfolios, even in large samples. Add any measurement error, and the economic model will underperform its own factor-mimicking portfolios.